Fundamentals of Mathematical Statistics

Fundamentals of Mathematical Statistics
Author: S.C. Gupta,V.K. Kapoor
Publsiher: Sultan Chand & Sons
Total Pages: 1344
Release: 2020-09-10
ISBN 10: 9351611736
ISBN 13: 9789351611738
Language: EN, FR, DE, ES & NL

Fundamentals of Mathematical Statistics Book Review:

Knowledge updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times. The authors have, however, been thinking, for the last few years that the book needed not only a thorough revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the book. The subject-matter in the entire book has been re-written in the light of numerous criticisms and suggestions received from the users of the earlier editions in India and abroad. The basis of this revision has been the emergence of new literature on the subject, the constructive feedback from students and teaching fraternity, as well as those changes that have been made in the syllabi and/or the pattern of examination papers of numerous universities. Knowledge updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times. The authors have, however, been thinking, for the last few years that the book needed not only a thorough revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the book. The subject-matter in the entire book has been re-written in the light of numerous criticisms and suggestions received from the users of the earlier editions in India and abroad. The basis of this revision has been the emergence of new literature on the subject, the constructive feedback from students and teaching fraternity, as well as those changes that have been made in the syllabi and/or the pattern of examination papers of numerous universities. Knowledge updating is a never-ending process and so should be the revision of an effective textbook. The book originally written fifty years ago has, during the intervening period, been revised and reprinted several times. The authors have, however, been thinking, for the last few years that the book needed not only a thorough revision but rather a substantial rewriting. They now take great pleasure in presenting to the readers the twelfth, thoroughly revised and enlarged, Golden Jubilee edition of the book. The subject-matter in the entire book has been re-written in the light of numerous criticisms and suggestions received from the users of the earlier editions in India and abroad. The basis of this revision has been the emergence of new literature on the subject, the constructive feedback from students and teaching fraternity, as well as those changes that have been made in the syllabi and/or the pattern of examination papers of numerous universities. Some prominent additions are given below: 1. Variance of Degenerate Random Variable 2. Approximate Expression for Expectation and Variance 3. Lyapounov’s Inequality 4. Holder’s Inequality 5. Minkowski’s Inequality 6. Double Expectation Rule or Double-E Rule and many others

Fundamental Of Research Methodology And Statistics

Fundamental Of Research Methodology And Statistics
Author: Yogesh Kumar Singh
Publsiher: New Age International
Total Pages: 322
Release: 2006-01-01
ISBN 10: 8122418864
ISBN 13: 9788122418866
Language: EN, FR, DE, ES & NL

Fundamental Of Research Methodology And Statistics Book Review:

The book approaches research from a perspective different from that taken in other educational research textbooks. The goal is to show educators that the application of research principles can make them more effective in their job of promoting learning. The basic point is that we do not have to stop teaching to do research; research is something we can do while teaching and if we do good research, we will do better teaching. This book includes most of the topics treated in traditional educational research books, but in a different order and with a different emphasis. The important content cons.

The Elements of Statistical Learning

The Elements of Statistical Learning
Author: Trevor Hastie,Robert Tibshirani,Jerome Friedman
Publsiher: Springer Science & Business Media
Total Pages: 536
Release: 2013-11-11
ISBN 10: 0387216065
ISBN 13: 9780387216065
Language: EN, FR, DE, ES & NL

The Elements of Statistical Learning Book Review:

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

Fundamental Statistics for Social Research

Fundamental Statistics for Social Research
Author: Duncan Cramer
Publsiher: Routledge
Total Pages: 478
Release: 2003-09-02
ISBN 10: 1134693249
ISBN 13: 9781134693245
Language: EN, FR, DE, ES & NL

Fundamental Statistics for Social Research Book Review:

This accessible introduction to statistics using the program SPSS for Windows explains when to apply and how to calculate and interpret a wide range of statistical procedures commonly used in the social sciences. Keeping statistical symbols and formulae to a minimum and using simple examples, this book: * assumes no prior knowledge of statistics or computing * includes a concise introduction to the program SPSS for Windows * describes a wider range of tests than other introductory texts * contains a comprehensive range of exercises with answers Fundamental Statistics for Social Research covers SPSS Release 6 for Windows 3.1 and Release 7 for Windows 95. It will prove an invaluable introductory statistics text for students, and a useful resource for graduates and professionals engaged in research in the social sciences.

Fundamentals of Modern Statistical Methods

Fundamentals of Modern Statistical Methods
Author: Rand R. Wilcox
Publsiher: Springer Science & Business Media
Total Pages: 249
Release: 2010-03-18
ISBN 10: 1441955240
ISBN 13: 9781441955241
Language: EN, FR, DE, ES & NL

Fundamentals of Modern Statistical Methods Book Review:

Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods. Without assuming the reader has any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how more modern methods can make a substantial difference in the conclusions reached in many areas of statistical research. The second edition of this book includes a number of advances and insights that have occurred since the first edition appeared. Included are new results relevant to medians, regression, measures of association, strategies for comparing dependent groups, methods for dealing with heteroscedasticity, and measures of effect size.

Fundamentals of Applied Statistics

Fundamentals of Applied Statistics
Author: S. C. Gupta,V. K. Kapoor
Publsiher: Unknown
Total Pages: 329
Release: 2007
ISBN 10: 9788180547058
ISBN 13: 8180547051
Language: EN, FR, DE, ES & NL

Fundamentals of Applied Statistics Book Review:

Fundamentals of Statistics

Fundamentals of Statistics
Author: S.C Gupta
Publsiher: Unknown
Total Pages: 1219
Release: 2017
ISBN 10: 9789350515044
ISBN 13: 9350515040
Language: EN, FR, DE, ES & NL

Fundamentals of Statistics Book Review:

The seventh throughly revised and enlarged edition of this indispensable book for all introductory and advance courses in statistics is intended to cater to the needs of the students preparing for B.Com. (Pass and Honours), B.A. (Economics Honours), M.Com., M.A. (Economics): CA, ICWA, MBA and other management courses. While retaining the basic features of earlier editions, this edition of the book includes Two New Chapters (Chapters 26 and 27), and extensively revised, restructured, rewritten and updated material, with a number of distinct features.

Fundamental Statistical Principles for the Neurobiologist

Fundamental Statistical Principles for the Neurobiologist
Author: Stephen W. Scheff
Publsiher: Academic Press
Total Pages: 234
Release: 2016-02-11
ISBN 10: 0128050519
ISBN 13: 9780128050514
Language: EN, FR, DE, ES & NL

Fundamental Statistical Principles for the Neurobiologist Book Review:

Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist, and provides understanding of a particular test in language that is more understandable to this specific audience, with the overall purpose of explaining which statistical technique should be used in which situation. Different types of data are discussed such as how to formulate a research hypothesis, the primary types of statistical errors and statistical power, followed by how to actually graph data and what kinds of mistakes to avoid. Chapters discuss variance, standard deviation, standard error, mean, confidence intervals, correlation, regression, parametric vs. nonparametric statistical tests, ANOVA, and post hoc analyses. Finally, there is a discussion on how to deal with data points that appear to be "outliers" and what to do when there is missing data, an issue that has not sufficiently been covered in literature. An introductory guide to statistics aimed specifically at the neuroscience audience Contains numerous examples with actual data that is used in the analysis Gives the investigators a starting pointing for evaluating data in easy-to-understand language Explains in detail many different statistical tests commonly used by neuroscientists

OpenIntro Statistics

OpenIntro Statistics
Author: David Diez,Mine Çetinkaya-Rundel,Christopher Barr
Publsiher: Unknown
Total Pages: 422
Release: 2019-05
ISBN 10: 9781943450138
ISBN 13: 1943450137
Language: EN, FR, DE, ES & NL

OpenIntro Statistics Book Review:

Linear Models in Statistics

Linear Models in Statistics
Author: Alvin C. Rencher,G. Bruce Schaalje
Publsiher: John Wiley & Sons
Total Pages: 688
Release: 2008-01-18
ISBN 10: 0470192607
ISBN 13: 9780470192603
Language: EN, FR, DE, ES & NL

Linear Models in Statistics Book Review:

The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.

Fundamental Statistics for the Behavioral Sciences

Fundamental Statistics for the Behavioral Sciences
Author: David C. Howell
Publsiher: Cengage Learning
Total Pages: 649
Release: 2016-02-02
ISBN 10: 1305887549
ISBN 13: 9781305887541
Language: EN, FR, DE, ES & NL

Fundamental Statistics for the Behavioral Sciences Book Review:

FUNDAMENTAL STATISTICS FOR THE BEHAVIORAL SCIENCES focuses on providing the context of statistics in behavioral research, while emphasizing the importance of looking at data before jumping into a test. This practical approach provides students with an understanding of the logic behind the statistics, so they understand why and how certain methods are used -- rather than simply carry out techniques by rote. Students move beyond number crunching to discover the meaning of statistical results and appreciate how the statistical test to be employed relates to the research questions posed by an experiment. Written in an informal style, the text provides an abundance of real data and research studies that provide a real-life perspective and help students learn and understand concepts. In alignment with current trends in statistics in the behavioral sciences, the text emphasizes effect sizes and meta-analysis, and integrates frequent demonstrations of computer analyses through SPSS and R. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Even You Can Learn Statistics

Even You Can Learn Statistics
Author: David Levine
Publsiher: Unknown
Total Pages: 384
Release: 2009
ISBN 10:
ISBN 13: OCLC:1137384863
Language: EN, FR, DE, ES & NL

Even You Can Learn Statistics Book Review:

Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics is a practical, up-to-date introduction to statistics-for everyone! Thought you couldn't learn statistics? You can-and you will! One easy step at a time, this fully updated book teaches you all the statistical techniques you'll need for finance, quality, marketing, the social sciences, or anything else! Simple jargon-free explanations help you understand every technique. Practical examples and worked-out problems give you hands-on practice. Special sections present detailed instructions for developing statistical answers, using spreadsheet programs or any TI-83/TI-84 compatible calculator. This edition delivers new examples, more detailed problems and sample solutions, plus an all-new chapter on powerful multiple regression techniques. Hate math? No sweat. You'll be amazed at how little you need. Like math? Optional "Equation Blackboard" sections reveal the mathematical foundations of statistics right before your eyes! You'll learn how to: Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3 Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics Use probability and probability distributions Work with sampling distributions and confidence intervals Test hypotheses with Z, t, chi-square, ANOVA, and other techniques Perform powerful regression analysis and modeling Use multiple regression to develop models that contain several independent variables Master specific statistical techniques for quality and Six Sigma programs About the Web Site Download practice files, templates, data sets, and sample spreadsheet models-including ready-to-use solutions for your own work! http://www.informit.com/title/9780137010592.

Fundamentals of Mathematical Statistics

Fundamentals of Mathematical Statistics
Author: Hung T. Nguyen,Gerald S. Rogers
Publsiher: Springer Science & Business Media
Total Pages: 432
Release: 2012-12-06
ISBN 10: 1461210135
ISBN 13: 9781461210139
Language: EN, FR, DE, ES & NL

Fundamentals of Mathematical Statistics Book Review:

This is the first half of a text for a two semester course in mathematical statistics at the senior/graduate level for those who need a strong background in statistics as an essential tool in their career. To study this text, the reader needs a thorough familiarity with calculus including such things as Jacobians and series but somewhat less intense familiarity with matrices including quadratic forms and eigenvalues. For convenience, these lecture notes were divided into two parts: Volume I, Probability for Statistics, for the first semester, and Volume II, Statistical Inference, for the second. We suggest that the following distinguish this text from other introductions to mathematical statistics. 1. The most obvious thing is the layout. We have designed each lesson for the (U.S.) 50 minute class; those who study independently probably need the traditional three hours for each lesson. Since we have more than (the U.S. again) 90 lessons, some choices have to be made. In the table of contents, we have used a * to designate those lessons which are "interesting but not essential" (INE) and may be omitted from a general course; some exercises and proofs in other lessons are also "INE". We have made lessons of some material which other writers might stuff into appendices. Incorporating this freedom of choice has led to some redundancy, mostly in definitions, which may be beneficial.

Probability and Statistics

Probability and Statistics
Author: Michael J. Evans,Jeffrey S. Rosenthal
Publsiher: WH Freeman
Total Pages: 200
Release: 2010-03-01
ISBN 10: 9781429224635
ISBN 13: 1429224630
Language: EN, FR, DE, ES & NL

Probability and Statistics Book Review:

Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor to the course, incorporating the computer and offering an integrated approach to inference that includes the frequency approach and the Bayesian inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout. Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. The new edition includes a number of features designed to make the material more accessible and level-appropriate to the students taking this course today.

Fundamental Statistical Inference

Fundamental Statistical Inference
Author: Marc S. Paolella
Publsiher: John Wiley & Sons
Total Pages: 584
Release: 2018-09-04
ISBN 10: 1119417864
ISBN 13: 9781119417866
Language: EN, FR, DE, ES & NL

Fundamental Statistical Inference Book Review:

A hands-on approach to statistical inference that addresses the latest developments in this ever-growing field This clear and accessible book for beginning graduate students offers a practical and detailed approach to the field of statistical inference, providing complete derivations of results, discussions, and MATLAB programs for computation. It emphasizes details of the relevance of the material, intuition, and discussions with a view towards very modern statistical inference. In addition to classic subjects associated with mathematical statistics, topics include an intuitive presentation of the (single and double) bootstrap for confidence interval calculations, shrinkage estimation, tail (maximal moment) estimation, and a variety of methods of point estimation besides maximum likelihood, including use of characteristic functions, and indirect inference. Practical examples of all methods are given. Estimation issues associated with the discrete mixtures of normal distribution, and their solutions, are developed in detail. Much emphasis throughout is on non-Gaussian distributions, including details on working with the stable Paretian distribution and fast calculation of the noncentral Student's t. An entire chapter is dedicated to optimization, including development of Hessian-based methods, as well as heuristic/genetic algorithms that do not require continuity, with MATLAB codes provided. The book includes both theory and nontechnical discussions, along with a substantial reference to the literature, with an emphasis on alternative, more modern approaches. The recent literature on the misuse of hypothesis testing and p-values for model selection is discussed, and emphasis is given to alternative model selection methods, though hypothesis testing of distributional assumptions is covered in detail, notably for the normal distribution. Presented in three parts—Essential Concepts in Statistics; Further Fundamental Concepts in Statistics; and Additional Topics—Fundamental Statistical Inference: A Computational Approach offers comprehensive chapters on: Introducing Point and Interval Estimation; Goodness of Fit and Hypothesis Testing; Likelihood; Numerical Optimization; Methods of Point Estimation; Q-Q Plots and Distribution Testing; Unbiased Point Estimation and Bias Reduction; Analytic Interval Estimation; Inference in a Heavy-Tailed Context; The Method of Indirect Inference; and, as an appendix, A Review of Fundamental Concepts in Probability Theory, the latter to keep the book self-contained, and giving material on some advanced subjects such as saddlepoint approximations, expected shortfall in finance, calculation with the stable Paretian distribution, and convergence theorems and proofs.

Deconstructing the Dynamics of World Societal Order

Deconstructing the Dynamics of World Societal Order
Author: Jan Busse
Publsiher: Routledge
Total Pages: 212
Release: 2017-11-23
ISBN 10: 1351362364
ISBN 13: 9781351362368
Language: EN, FR, DE, ES & NL

Deconstructing the Dynamics of World Societal Order Book Review:

To get a better sense of power dynamics in global politics, this book presents an innovative theoretical framework, combining a critical engagement with, and further development of, Michel Foucault’s governmentality on the one hand, and the theory of world society of the Stanford School of Sociology on the other. Making an original contribution to academic debates about power and global political order, this book develops a comprehensive theoretical perspective on power relations and political dynamics. The book starts from the presupposition that any theoretical engagement of that kind requires nuanced empirical study as well. It therefore analyzes the dynamics of world-societal order in the concrete empirical example of Palestine, and raises the question of how its political and societal order comes into existence. The author argues that governmentality represents a fundamental pattern of political order in world society that also profoundly affects power dynamics in Palestine. This insight has two important implications: First, power relations do not follow dichotomous distinctions such as international/domestic or global/local, but manifest themselves within world society. Second, therefore, order that comes into existence in Palestine needs to be understood as world-societal order. Offering a comprehensive understanding of power relations and patterns of political order(ing) embedded in world society, the book provides a deeper understanding of the complex dynamics that contribute to the political and societal order of Palestine. This book will be of interest to scholars and students of Middle East Studies, Palestine Studies, International Relations, International Political Sociology, International Relations Theory, Governmentality Studies, and Political Theory.

Principles and Practices for a Federal Statistical Agency

Principles and Practices for a Federal Statistical Agency
Author: National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on National Statistics
Publsiher: National Academies Press
Total Pages: 156
Release: 2017-07-27
ISBN 10: 0309461707
ISBN 13: 9780309461702
Language: EN, FR, DE, ES & NL

Principles and Practices for a Federal Statistical Agency Book Review:

Publicly available statistics from government agencies that are credible, relevant, accurate, and timely are essential for policy makers, individuals, households, businesses, academic institutions, and other organizations to make informed decisions. Even more, the effective operation of a democratic system of government depends on the unhindered flow of statistical information to its citizens. In the United States, federal statistical agencies in cabinet departments and independent agencies are the governmental units whose principal function is to compile, analyze, and disseminate information for such statistical purposes as describing population characteristics and trends, planning and monitoring programs, and conducting research and evaluation. The work of these agencies is coordinated by the U.S. Office of Management and Budget. Statistical agencies may acquire information not only from surveys or censuses of people and organizations, but also from such sources as government administrative records, private-sector datasets, and Internet sources that are judged of suitable quality and relevance for statistical use. They may conduct analyses, but they do not advocate policies or take partisan positions. Statistical purposes for which they provide information relate to descriptions of groups and exclude any interest in or identification of an individual person, institution, or economic unit. Four principles are fundamental for a federal statistical agency: relevance to policy issues, credibility among data users, trust among data providers, and independence from political and other undue external influence. Principles and Practices for a Federal Statistical Agency: Sixth Edition presents and comments on these principles as they've been impacted by changes in laws, regulations, and other aspects of the environment of federal statistical agencies over the past 4 years.

Mathematical Methods of Statistics

Mathematical Methods of Statistics
Author: Harald Cramér
Publsiher: Princeton University Press
Total Pages: 575
Release: 1999-04-12
ISBN 10: 9780691005478
ISBN 13: 0691005478
Language: EN, FR, DE, ES & NL

Mathematical Methods of Statistics Book Review:

In this classic of statistical mathematical theory, Harald Cramér joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cramér's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance.

Introduction to Statistical Thought

Introduction to Statistical Thought
Author: Michael Lavine
Publsiher: Orange Groove Books
Total Pages: 434
Release: 2009-09
ISBN 10: 9781616100483
ISBN 13: 1616100486
Language: EN, FR, DE, ES & NL

Introduction to Statistical Thought Book Review:

This free PDF textbook is intended as an upper level undergraduate or introductory graduate textbook in statistical thinking. It is best suited to students with a good knowledge of calculus and the ability to think abstractly. The focus of the text is the ideas that statisticians care about as opposed to technical details of how to put those ideas into practice. Another unusual aspect is the use of statistical software as a pedagogical tool. That is, instead of viewing the computer merely as a convenient and accurate calculating device, the book uses computer calculation and simulation as another way of explaining and helping readers understand the underlying concepts. The book is written with the statistical language R embedded throughout. R software and accompanying manuals are available for free download from http: //www.r-project.or

Essential Medical Statistics

Essential Medical Statistics
Author: Betty R. Kirkwood,Jonathan A. C. Sterne
Publsiher: John Wiley & Sons
Total Pages: 512
Release: 2010-09-16
ISBN 10: 1444392840
ISBN 13: 9781444392845
Language: EN, FR, DE, ES & NL

Essential Medical Statistics Book Review:

Blackwell Publishing is delighted to announce that this book hasbeen Highly Commended in the 2004 BMA Medical Book Competition.Here is the judges' summary of this book: "This is a technical book on a technical subject but presentedin a delightful way. There are many books on statistics for doctorsbut there are few that are excellent and this is certainly one ofthem. Statistics is not an easy subject to teach or write about.The authors have succeeded in producing a book that is as good asit can get. For the keen student who does not want a book formathematicians, this is an excellent first book on medicalstatistics." Essential Medical Statistics is a classic amongst medicalstatisticians. An introductory textbook, it presents statisticswith a clarity and logic that demystifies the subject, whileproviding a comprehensive coverage of advanced as well as basicmethods. The second edition of Essential Medical Statistics hasbeen comprehensively revised and updated to include modernstatistical methods and modern approaches to statistical analysis,while retaining the approachable and non-mathematical style of thefirst edition. The book now includes full coverage of the mostcommonly used regression models, multiple linear regression,logistic regression, Poisson regression and Cox regression, as wellas a chapter on general issues in regression modelling. Inaddition, new chapters introduce more advanced topics such asmeta-analysis, likelihood, bootstrapping and robust standarderrors, and analysis of clustered data. Aimed at students of medical statistics, medical researchers,public health practitioners and practising clinicians usingstatistics in their daily work, the book is designed as both ateaching and a reference text. The format of the book is clear withhighlighted formulae and worked examples, so that all concepts arepresented in a simple, practical and easy-to-understand way. Thesecond edition enhances the emphasis on choice of appropriatemethods with new chapters on strategies for analysis and measuresof association and impact. Essential Medical Statistics is supported by a web siteat www.blackwellpublishing.com/essentialmedstats. Thisuseful online resource provides statistical datasets to download,as well as sample chapters and future updates.