Probability and Statistical Inference

Probability and Statistical Inference
Author: Robert V. Hogg,Elliot A. Tanis
Publsiher: Macmillan College
Total Pages: 658
Release: 1988
ISBN 10: 1928374650XXX
ISBN 13: UOM:39015050425902
Language: EN, FR, DE, ES & NL

Probability and Statistical Inference Book Review:

This user-friendly introduction to the mathematics of probability and statistics (for readers with a background in calculus) uses numerous applications--drawn from biology, education, economics, engineering, environmental studies, exercise science, health science, manufacturing, opinion polls, psychology, sociology, and sports--to help explain and motivate the concepts. A review of selected mathematical techniques is included, and an accompanying CD-ROM contains many of the figures (many animated), and the data included in the examples and exercises (stored in both Minitab compatible format and ASCII). Empirical and Probability Distributions. Probability. Discrete Distributions. Continuous Distributions. Multivariable Distributions. Sampling Distribution Theory. Importance of Understanding Variability. Estimation. Tests of Statistical Hypotheses. Theory of Statistical Inference. Quality Improvement Through Statistical Methods. For anyone interested in the Mathematics of Probability and Statistics.

Probability and Statistical Inference

Probability and Statistical Inference
Author: Robert Bartoszynski,Magdalena Niewiadomska-Bugaj
Publsiher: John Wiley & Sons
Total Pages: 672
Release: 2007-11-16
ISBN 10: 9780470191583
ISBN 13: 0470191589
Language: EN, FR, DE, ES & NL

Probability and Statistical Inference Book Review:

Now updated in a valuable new edition—this user-friendly book focuses on understanding the "why" of mathematical statistics Probability and Statistical Inference, Second Edition introduces key probability and statis-tical concepts through non-trivial, real-world examples and promotes the developmentof intuition rather than simple application. With its coverage of the recent advancements in computer-intensive methods, this update successfully provides the comp-rehensive tools needed to develop a broad understanding of the theory of statisticsand its probabilistic foundations. This outstanding new edition continues to encouragereaders to recognize and fully understand the why, not just the how, behind the concepts,theorems, and methods of statistics. Clear explanations are presented and appliedto various examples that help to impart a deeper understanding of theorems and methods—from fundamental statistical concepts to computational details. Additional features of this Second Edition include: A new chapter on random samples Coverage of computer-intensive techniques in statistical inference featuring Monte Carlo and resampling methods, such as bootstrap and permutation tests, bootstrap confidence intervals with supporting R codes, and additional examples available via the book's FTP site Treatment of survival and hazard function, methods of obtaining estimators, and Bayes estimating Real-world examples that illuminate presented concepts Exercises at the end of each section Providing a straightforward, contemporary approach to modern-day statistical applications, Probability and Statistical Inference, Second Edition is an ideal text for advanced undergraduate- and graduate-level courses in probability and statistical inference. It also serves as a valuable reference for practitioners in any discipline who wish to gain further insight into the latest statistical tools.

Probability and Statistical Inference

Probability and Statistical Inference
Author: Miltiadis C. Mavrakakis,Jeremy Penzer
Publsiher: CRC Press
Total Pages: 444
Release: 2021-03-29
ISBN 10: 131536204X
ISBN 13: 9781315362045
Language: EN, FR, DE, ES & NL

Probability and Statistical Inference Book Review:

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and inference that are fundamental to a proper understanding of data analysis and statistical modelling. It presents these topics in an accessible manner without sacrificing mathematical rigour, bridging the gap between the many excellent introductory books and the more advanced, graduate-level texts. The book introduces and explores techniques that are relevant to modern practitioners, while being respectful to the history of statistical inference. It seeks to provide a thorough grounding in both the theory and application of statistics, with even the more abstract parts placed in the context of a practical setting. Features: •Complete introduction to mathematical probability, random variables, and distribution theory. •Concise but broad account of statistical modelling, covering topics such as generalised linear models, survival analysis, time series, and random processes. •Extensive discussion of the key concepts in classical statistics (point estimation, interval estimation, hypothesis testing) and the main techniques in likelihood-based inference. •Detailed introduction to Bayesian statistics and associated topics. •Practical illustration of some of the main computational methods used in modern statistical inference (simulation, boostrap, MCMC). This book is for students who have already completed a first course in probability and statistics, and now wish to deepen and broaden their understanding of the subject. It can serve as a foundation for advanced undergraduate or postgraduate courses. Our aim is to challenge and excite the more mathematically able students, while providing explanations of statistical concepts that are more detailed and approachable than those in advanced texts. This book is also useful for data scientists, researchers, and other applied practitioners who want to understand the theory behind the statistical methods used in their fields.

Probability and Statistical Inference

Probability and Statistical Inference
Author: J.G. Kalbfleisch
Publsiher: Springer Science & Business Media
Total Pages: 343
Release: 2012-12-06
ISBN 10: 1461210968
ISBN 13: 9781461210962
Language: EN, FR, DE, ES & NL

Probability and Statistical Inference Book Review:

A carefully written text, suitable as an introductory course for second or third year students. The main scope of the text guides students towards a critical understanding and handling of data sets together with the ensuing testing of hypotheses. This approach distinguishes it from many other texts using statistical decision theory as their underlying philosophy. This volume covers concepts from probability theory, backed by numerous problems with selected answers.

Probability and Statistical Inference

Probability and Statistical Inference
Author: Nitis Mukhopadhyay
Publsiher: CRC Press
Total Pages: 665
Release: 2020-08-30
ISBN 10: 1000291553
ISBN 13: 9781000291551
Language: EN, FR, DE, ES & NL

Probability and Statistical Inference Book Review:

Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts. Beginning wi

Models for Probability and Statistical Inference

Models for Probability and Statistical Inference
Author: James H. Stapleton
Publsiher: John Wiley & Sons
Total Pages: 512
Release: 2007-12-14
ISBN 10: 9780470183403
ISBN 13: 0470183403
Language: EN, FR, DE, ES & NL

Models for Probability and Statistical Inference Book Review:

This concise, yet thorough, book is enhanced with simulations and graphs to build the intuition of readers Models for Probability and Statistical Inference was written over a five-year period and serves as a comprehensive treatment of the fundamentals of probability and statistical inference. With detailed theoretical coverage found throughout the book, readers acquire the fundamentals needed to advance to more specialized topics, such as sampling, linear models, design of experiments, statistical computing, survival analysis, and bootstrapping. Ideal as a textbook for a two-semester sequence on probability and statistical inference, early chapters provide coverage on probability and include discussions of: discrete models and random variables; discrete distributions including binomial, hypergeometric, geometric, and Poisson; continuous, normal, gamma, and conditional distributions; and limit theory. Since limit theory is usually the most difficult topic for readers to master, the author thoroughly discusses modes of convergence of sequences of random variables, with special attention to convergence in distribution. The second half of the book addresses statistical inference, beginning with a discussion on point estimation and followed by coverage of consistency and confidence intervals. Further areas of exploration include: distributions defined in terms of the multivariate normal, chi-square, t, and F (central and non-central); the one- and two-sample Wilcoxon test, together with methods of estimation based on both; linear models with a linear space-projection approach; and logistic regression. Each section contains a set of problems ranging in difficulty from simple to more complex, and selected answers as well as proofs to almost all statements are provided. An abundant amount of figures in addition to helpful simulations and graphs produced by the statistical package S-Plus(r) are included to help build the intuition of readers.

Probability and Statistical Inference

Probability and Statistical Inference
Author: J.G. Kalbfleisch
Publsiher: Springer Science & Business Media
Total Pages: 135
Release: 2012-12-06
ISBN 10: 1468400916
ISBN 13: 9781468400915
Language: EN, FR, DE, ES & NL

Probability and Statistical Inference Book Review:

Hilbert Space Methods in Probability and Statistical Inference

Hilbert Space Methods in Probability and Statistical Inference
Author: Christopher G. Small,Don L. McLeish
Publsiher: John Wiley & Sons
Total Pages: 270
Release: 2011-09-15
ISBN 10: 1118165535
ISBN 13: 9781118165539
Language: EN, FR, DE, ES & NL

Hilbert Space Methods in Probability and Statistical Inference Book Review:

Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration, interpolation and density estimation. Includes a copious amount of problems and examples.

Probability Theory and Statistical Inference

Probability Theory and Statistical Inference
Author: Aris Spanos
Publsiher: Cambridge University Press
Total Pages: 846
Release: 2019-08-31
ISBN 10: 1107185149
ISBN 13: 9781107185142
Language: EN, FR, DE, ES & NL

Probability Theory and Statistical Inference Book Review:

This empirical research methods course enables informed implementation of statistical procedures, giving rise to trustworthy evidence.

An Introduction to Probability and Statistical Inference

An Introduction to Probability and Statistical Inference
Author: George G. Roussas
Publsiher: Academic Press
Total Pages: 624
Release: 2014-10-21
ISBN 10: 0128004371
ISBN 13: 9780128004371
Language: EN, FR, DE, ES & NL

An Introduction to Probability and Statistical Inference Book Review:

An Introduction to Probability and Statistical Inference, Second Edition, guides you through probability models and statistical methods and helps you to think critically about various concepts. Written by award-winning author George Roussas, this book introduces readers with no prior knowledge in probability or statistics to a thinking process to help them obtain the best solution to a posed question or situation. It provides a plethora of examples for each topic discussed, giving the reader more experience in applying statistical methods to different situations. This text contains an enhanced number of exercises and graphical illustrations where appropriate to motivate the reader and demonstrate the applicability of probability and statistical inference in a great variety of human activities. Reorganized material is included in the statistical portion of the book to ensure continuity and enhance understanding. Each section includes relevant proofs where appropriate, followed by exercises with useful clues to their solutions. Furthermore, there are brief answers to even-numbered exercises at the back of the book and detailed solutions to all exercises are available to instructors in an Answers Manual. This text will appeal to advanced undergraduate and graduate students, as well as researchers and practitioners in engineering, business, social sciences or agriculture. Content, examples, an enhanced number of exercises, and graphical illustrations where appropriate to motivate the reader and demonstrate the applicability of probability and statistical inference in a great variety of human activities Reorganized material in the statistical portion of the book to ensure continuity and enhance understanding A relatively rigorous, yet accessible and always within the prescribed prerequisites, mathematical discussion of probability theory and statistical inference important to students in a broad variety of disciplines Relevant proofs where appropriate in each section, followed by exercises with useful clues to their solutions Brief answers to even-numbered exercises at the back of the book and detailed solutions to all exercises available to instructors in an Answers Manual

Probability and Statistical Inference

Probability and Statistical Inference
Author: Robert V. Hogg,Elliot A. Tanis,Dale L. Zimmerman
Publsiher: Pearson
Total Pages: 560
Release: 2019-01-11
ISBN 10: 9780135189399
ISBN 13: 013518939X
Language: EN, FR, DE, ES & NL

Probability and Statistical Inference Book Review:

For one- or two-semester courses in Probability, Probability & Statistics, or Mathematical Statistics. An authoritative introduction to an in-demand field Advances in computing technology - particularly in science and business - have increased the need for more statistical scientists to examine the huge amount of data being collected. Written by veteran statisticians, Probability and Statistical Inference, 10th Edition emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. This applied introduction to probability and statistics reinforces basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts. It is designed for a two-semester course, but it can be adapted for a one-semester course. A good calculus background is needed, but no previous study of probability or statistics is required. 013518939X / 9780135189399 PROBABILITY AND STATISTICAL INFERENCE, 10/e

Probably Not

Probably Not
Author: Lawrence N. Dworsky
Publsiher: John Wiley & Sons
Total Pages: 352
Release: 2019-07-29
ISBN 10: 1119518121
ISBN 13: 9781119518129
Language: EN, FR, DE, ES & NL

Probably Not Book Review:

A revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical level Written in an engaging and entertaining manner, the revised and updated second edition of Probably Not continues to offer an informative guide to probability and prediction. The expanded second edition contains problem and solution sets. In addition, the book’s illustrative examples reveal how we are living in a statistical world, what we can expect, what we really know based upon the information at hand and explains when we only think we know something. The author introduces the principles of probability and explains probability distribution functions. The book covers combined and conditional probabilities and contains a new section on Bayes Theorem and Bayesian Statistics, which features some simple examples including the Presecutor’s Paradox, and Bayesian vs. Frequentist thinking about statistics. New to this edition is a chapter on Benford’s Law that explores measuring the compliance and financial fraud detection using Benford’s Law. This book: Contains relevant mathematics and examples that demonstrate how to use the concepts presented Features a new chapter on Benford’s Law that explains why we find Benford’s law upheld in so many, but not all, natural situations Presents updated Life insurance tables Contains updates on the Gantt Chart example that further develops the discussion of random events Offers a companion site featuring solutions to the problem sets within the book Written for mathematics and statistics students and professionals, the updated edition of Probably Not: Future Prediction Using Probability and Statistical Inference, Second Edition combines the mathematics of probability with real-world examples. LAWRENCE N. DWORSKY, PhD, is a retired Vice President of the Technical Staff and Director of Motorola’s Components Research Laboratory in Schaumburg, Illinois, USA. He is the author of Introduction to Numerical Electrostatics Using MATLAB from Wiley.

A Brief Course in Mathematical Statistics

A Brief Course in Mathematical Statistics
Author: Elliot A. Tanis,Robert V. Hogg
Publsiher: Prentice Hall
Total Pages: 359
Release: 2008
ISBN 10: 1928374650XXX
ISBN 13: LCCN:63001415
Language: EN, FR, DE, ES & NL

A Brief Course in Mathematical Statistics Book Review:

This innovative new introduction to Mathematical Statistics covers the important concept of estimation at a point much earlier (Chapter 2) than others on this subject. Applies mathematical statistics to topics such as insurance, Pap smear tests, estimating the number of whales in an ocean, fitting models, filling 12 ounce containers, environmental issues, and results in certain sporting events. Includes summaries of the most important aspects of discrete distributions, continuous distributions, confidence intervals, and tests of hypotheses. Provides computer applications for data analysis and also for theoretical solutions such as simulation and bootstrapping. A comprehensive reference for individuals who need to brush up on their knowledge of statistics.

All of Statistics

All of Statistics
Author: Larry Wasserman
Publsiher: Springer Science & Business Media
Total Pages: 442
Release: 2013-12-11
ISBN 10: 0387217363
ISBN 13: 9780387217369
Language: EN, FR, DE, ES & NL

All of Statistics Book Review:

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

Confidence Likelihood Probability

Confidence  Likelihood  Probability
Author: Tore Schweder,Nils Lid Hjort
Publsiher: Cambridge University Press
Total Pages: 544
Release: 2016-02-19
ISBN 10: 0521861608
ISBN 13: 9780521861601
Language: EN, FR, DE, ES & NL

Confidence Likelihood Probability Book Review:

This is the first book to develop a methodology of confidence distributions, with a lively mix of theory, illustrations, applications and exercises.

Introductory Statistical Inference

Introductory Statistical Inference
Author: Nitis Mukhopadhyay
Publsiher: CRC Press
Total Pages: 304
Release: 2006-02-07
ISBN 10: 1420017403
ISBN 13: 9781420017403
Language: EN, FR, DE, ES & NL

Introductory Statistical Inference Book Review:

This gracefully organized text reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, figures, tables, and computer simulations to develop and illustrate concepts. Drills and boxed summaries emphasize and reinforce important ideas and special techniques. Beginning wi

Modelling Inference and Data Analysis

Modelling  Inference and Data Analysis
Author: Miltiadis C. Mavrakakis,Jeremy Penzer
Publsiher: Chapman and Hall/CRC
Total Pages: 608
Release: 2014-12-15
ISBN 10: 9781584889397
ISBN 13: 158488939X
Language: EN, FR, DE, ES & NL

Modelling Inference and Data Analysis Book Review:

Modelling, Inference and Data Analysis brings together key topics in mathematical statistics and presents them in a rigorous yet accessible manner. It covers aspects of probability, distribution theory and random processes that are fundamental to a proper understanding of inference. The book also discusses the properties of estimators constructed from a random sample of ends, with sections on methods for estimating parameters in time series models and computationally intensive inferential techniques. The text challenges and excites the more mathematically able students while providing an approachable explanation of advanced statistical concepts for students who struggle with existing texts.

Probability and Statistical Inference

Probability and Statistical Inference
Author: Hogg Robert V.
Publsiher: Pearson Education India
Total Pages: 735
Release: 2006
ISBN 10: 9788177585537
ISBN 13: 8177585533
Language: EN, FR, DE, ES & NL

Probability and Statistical Inference Book Review:

Foundations and Philosophy of Epistemic Applications of Probability Theory

Foundations and Philosophy of Epistemic Applications of Probability Theory
Author: W.L. Harper,Cliff Hooker
Publsiher: Springer Science & Business Media
Total Pages: 308
Release: 1976
ISBN 10: 9789027706171
ISBN 13: 9027706174
Language: EN, FR, DE, ES & NL

Foundations and Philosophy of Epistemic Applications of Probability Theory Book Review:

Proceedings of an International Research Colloquium held at the University of Western Ontario, 10-13 May 1973.

Probability and Statistical Inference

Probability and Statistical Inference
Author: Robert Bartoszynski,Magdalena Niewiadomska-Bugaj
Publsiher: John Wiley & Sons
Total Pages: 592
Release: 2020-12-22
ISBN 10: 1119243807
ISBN 13: 9781119243809
Language: EN, FR, DE, ES & NL

Probability and Statistical Inference Book Review:

Updated classic statistics text, with new problems and examples Probability and Statistical Inference, Third Edition helps students grasp essential concepts of statistics and its probabilistic foundations. This book focuses on the development of intuition and understanding in the subject through a wealth of examples illustrating concepts, theorems, and methods. The reader will recognize and fully understand the why and not just the how behind the introduced material. In this Third Edition, the reader will find a new chapter on Bayesian statistics, 70 new problems and an appendix with the supporting R code. This book is suitable for upper-level undergraduates or first-year graduate students studying statistics or related disciplines, such as mathematics or engineering. This Third Edition: Introduces an all-new chapter on Bayesian statistics and offers thorough explanations of advanced statistics and probability topics Includes 650 problems and over 400 examples - an excellent resource for the mathematical statistics class sequence in the increasingly popular "flipped classroom" format Offers students in statistics, mathematics, engineering and related fields a user-friendly resource Provides practicing professionals valuable insight into statistical tools Probability and Statistical Inference offers a unique approach to problems that allows the reader to fully integrate the knowledge gained from the text, thus, enhancing a more complete and honest understanding of the topic.