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.

Probability Statistics and Data

Probability  Statistics  and Data
Author: Darrin Speegle,Bryan Clair
Publsiher: CRC Press
Total Pages: 512
Release: 2021-11-26
ISBN 10: 1000504514
ISBN 13: 9781000504514
Language: EN, FR, DE, ES & NL

Probability Statistics and Data Book Review:

This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques. Fifty-two data sets are included in the complementary R package fosdata. Most of these data sets are from recently published papers, so that you are working with current, real data, which is often large and messy. Two central chapters use powerful tidyverse tools (dplyr, ggplot2, tidyr, stringr) to wrangle data and produce meaningful visualizations. Preliminary versions of the book have been used for five semesters at Saint Louis University, and the majority of the more than 400 exercises have been classroom tested.

Probability with Statistical Applications

Probability with Statistical Applications
Author: Rinaldo B. Schinazi
Publsiher: Springer Science & Business Media
Total Pages: 347
Release: 2011-12-15
ISBN 10: 081768249X
ISBN 13: 9780817682491
Language: EN, FR, DE, ES & NL

Probability with Statistical Applications Book Review:

This second edition textbook offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards applications. Calculus is a prerequisite for understanding the basic concepts, however the book is written with a sensitivity to students’ common difficulties with calculus that does not obscure the thorough treatment of the probability content. The first six chapters of this text neatly and concisely cover the material traditionally required by most undergraduate programs for a first course in probability. The comprehensive text includes a multitude of new examples and exercises, and careful revisions throughout. Particular attention is given to the expansion of the last three chapters of the book with the addition of one entirely new chapter (9) on ’Finding and Comparing Estimators.’ The classroom-tested material presented in this second edition forms the basis for a second course introducing mathematical statistics.

Probability and Statistics for Economists

Probability and Statistics for Economists
Author: Bruce Hansen
Publsiher: Princeton University Press
Total Pages: 416
Release: 2022-08-16
ISBN 10: 0691235945
ISBN 13: 9780691235943
Language: EN, FR, DE, ES & NL

Probability and Statistics for Economists Book Review:

A comprehensive and up-to-date introduction to the mathematics that all economics students need to know Probability theory is the quantitative language used to handle uncertainty and is the foundation of modern statistics. Probability and Statistics for Economists provides graduate and PhD students with an essential introduction to mathematical probability and statistical theory, which are the basis of the methods used in econometrics. This incisive textbook teaches fundamental concepts, emphasizes modern, real-world applications, and gives students an intuitive understanding of the mathematics that every economist needs to know. Covers probability and statistics with mathematical rigor while emphasizing intuitive explanations that are accessible to economics students of all backgroundsDiscusses random variables, parametric and multivariate distributions, sampling, the law of large numbers, central limit theory, maximum likelihood estimation, numerical optimization, hypothesis testing, and moreFeatures hundreds of exercises that enable students to learn by doingIncludes an in-depth appendix summarizing important mathematical results as well as a wealth of real-world examplesCan serve as a core textbook for a first-semester PhD course in econometrics and as a companion book to Bruce E. Hansen’s EconometricsAlso an invaluable reference for researchers and practitioners

Probability and Statistics

Probability and Statistics
Author: John Tabak
Publsiher: Infobase Publishing
Total Pages: 241
Release: 2009-01-01
ISBN 10: 0816068739
ISBN 13: 9780816068739
Language: EN, FR, DE, ES & NL

Probability and Statistics Book Review:

Presents a survey of the history and evolution of the branch of mathematics that focuses on probability and statistics, including useful applications and notable mathematicians in this area.

A Modern Introduction to Probability and Statistics

A Modern Introduction to Probability and Statistics
Author: F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester
Publsiher: Springer Science & Business Media
Total Pages: 488
Release: 2006-03-30
ISBN 10: 1846281687
ISBN 13: 9781846281686
Language: EN, FR, DE, ES & NL

A Modern Introduction to Probability and Statistics Book Review:

Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

Probability and Statistics

Probability and Statistics
Author: José I. Barragués,Adolfo Morais,Jenaro Guisasola
Publsiher: CRC Press
Total Pages: 490
Release: 2016-04-19
ISBN 10: 1482219808
ISBN 13: 9781482219807
Language: EN, FR, DE, ES & NL

Probability and Statistics Book Review:

With contributions by leaders in the field, this book provides a comprehensive introduction to the foundations of probability and statistics. Each of the chapters covers a major topic and offers an intuitive view of the subject matter, methodologies, concepts, terms, and related applications. The book is suitable for use for entry level courses in first year university studies of Science and Engineering, higher level courses, postgraduate university studies and for the research community.

Introduction to Probability Statistics and Random Processes

Introduction to Probability  Statistics  and Random Processes
Author: Hossein Pishro-Nik
Publsiher: Unknown
Total Pages: 746
Release: 2014-08-15
ISBN 10: 9780990637202
ISBN 13: 0990637204
Language: EN, FR, DE, ES & NL

Introduction to Probability Statistics and Random Processes Book Review:

The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities; limit theorems and convergence; introduction to Bayesian and classical statistics; random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion; simulation using MATLAB and R.

Probability and Statistics for Computer Science

Probability and Statistics for Computer Science
Author: David Forsyth
Publsiher: Springer
Total Pages: 367
Release: 2017-12-13
ISBN 10: 3319644106
ISBN 13: 9783319644103
Language: EN, FR, DE, ES & NL

Probability and Statistics for Computer Science Book Review:

This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning. With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Science features: • A treatment of random variables and expectations dealing primarily with the discrete case. • A practical treatment of simulation, showing how many interesting probabilities and expectations can be extracted, with particular emphasis on Markov chains. • A clear but crisp account of simple point inference strategies (maximum likelihood; Bayesian inference) in simple contexts. This is extended to cover some confidence intervals, samples and populations for random sampling with replacement, and the simplest hypothesis testing. • A chapter dealing with classification, explaining why it’s useful; how to train SVM classifiers with stochastic gradient descent; and how to use implementations of more advanced methods such as random forests and nearest neighbors. • A chapter dealing with regression, explaining how to set up, use and understand linear regression and nearest neighbors regression in practical problems. • A chapter dealing with principal components analysis, developing intuition carefully, and including numerous practical examples. There is a brief description of multivariate scaling via principal coordinate analysis. • A chapter dealing with clustering via agglomerative methods and k-means, showing how to build vector quantized features for complex signals. Illustrated throughout, each main chapter includes many worked examples and other pedagogical elements such as boxed Procedures, Definitions, Useful Facts, and Remember This (short tips). Problems and Programming Exercises are at the end of each chapter, with a summary of what the reader should know. Instructor resources include a full set of model solutions for all problems, and an Instructor's Manual with accompanying presentation slides.

Probability and Statistics in Experimental Physics

Probability and Statistics in Experimental Physics
Author: Byron P. Roe
Publsiher: Springer Science & Business Media
Total Pages: 208
Release: 2013-03-09
ISBN 10: 1475721862
ISBN 13: 9781475721867
Language: EN, FR, DE, ES & NL

Probability and Statistics in Experimental Physics Book Review:

A practical introduction to the use of probability and statistics in experimental physics for graduate students and advanced undergraduates. Intended as a practical guide, and not as a comprehensive text, the emphasis is on applications and understanding, on theorems and techniques that are actually used in experimental physics. Proofs of theorems are generally omitted unless they contribute to the intuition in understanding and applying the theorem. The problems, many with worked solutions, introduce the student to the use of computers; occasional reference is made to some of the Fortran routines available in the CERN library, but other systems, such as Maple, will also be useful.

Probability Statistics and Truth

Probability  Statistics  and Truth
Author: Richard Von Mises
Publsiher: Courier Corporation
Total Pages: 244
Release: 1957
ISBN 10: 0486242145
ISBN 13: 9780486242149
Language: EN, FR, DE, ES & NL

Probability Statistics and Truth Book Review:

This comprehensive study of probability considers the approaches of Pascal, Laplace, Poisson, and others. It also discusses Laws of Large Numbers, the theory of errors, and other relevant topics.

An Introduction to Probability and Statistics

An Introduction to Probability and Statistics
Author: Vijay K. Rohatgi,A.K. Md. Ehsanes Saleh
Publsiher: John Wiley & Sons
Total Pages: 728
Release: 2015-09-01
ISBN 10: 1118799658
ISBN 13: 9781118799659
Language: EN, FR, DE, ES & NL

An Introduction to Probability and Statistics Book Review:

A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics. An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.

Probability and Statistics with R

Probability and Statistics with R
Author: Maria Dolores Ugarte,Ana F. Militino,Alan T. Arnholt
Publsiher: CRC Press
Total Pages: 726
Release: 2008-04-11
ISBN 10: 158488892X
ISBN 13: 9781584888925
Language: EN, FR, DE, ES & NL

Probability and Statistics with R Book Review:

Designed for an intermediate undergraduate course, Probability and Statistics with R shows students how to solve various statistical problems using both parametric and nonparametric techniques via the open source software R. It provides numerous real-world examples, carefully explained proofs, end-of-chapter problems, and illuminating graphs

Applied Probability and Statistics

Applied Probability and Statistics
Author: Mario Lefebvre
Publsiher: Springer Science & Business Media
Total Pages: 358
Release: 2007-04-03
ISBN 10: 0387285059
ISBN 13: 9780387285054
Language: EN, FR, DE, ES & NL

Applied Probability and Statistics Book Review:

This book moves systematically through the topic of applied probability from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Each chapter concludes with many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are historical notes on the mathematicians mentioned throughout, and a useful bibliography. A distinguishing character of the book is its thorough and succinct handling of the varied topics.

Introduction to Probability and Statistics Using R

Introduction to Probability and Statistics Using R
Author: G. Jay Kerns
Publsiher: Lulu.com
Total Pages: 370
Release: 2010
ISBN 10: 0557249791
ISBN 13: 9780557249794
Language: EN, FR, DE, ES & NL

Introduction to Probability and Statistics Using R Book Review:

Everyday Probability and Statistics

Everyday Probability and Statistics
Author: M. M. Woolfson
Publsiher: Imperial College Press
Total Pages: 223
Release: 2008
ISBN 10: 184816033X
ISBN 13: 9781848160330
Language: EN, FR, DE, ES & NL

Everyday Probability and Statistics Book Review:

Probability and statistics impinge on the life of the average person in a variety of ways OCo as is suggested by the title of this book. Very often, information is provided that is factually accurate but intended to present a biased view. This book presents the important results of probability and statistics without making heavy mathematical demands on the reader. It should enable an intelligent reader to properly assess statistical information and to understand that the same information can be presented in different ways.

Probability and Statistics

Probability and Statistics
Author: Arak M. Mathai,Hans J. Haubold
Publsiher: Walter de Gruyter GmbH & Co KG
Total Pages: 604
Release: 2017-12-18
ISBN 10: 311056260X
ISBN 13: 9783110562606
Language: EN, FR, DE, ES & NL

Probability and Statistics Book Review:

This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. As a companion for classes for engineers and scientists, the book also covers applied topics such as model building and experiment design. Contents Random phenomena Probability Random variables Expected values Commonly used discrete distributions Commonly used density functions Joint distributions Some multivariate distributions Collection of random variables Sampling distributions Estimation Interval estimation Tests of statistical hypotheses Model building and regression Design of experiments and analysis of variance Questions and answers

Mathematical Theory of Probability and Statistics

Mathematical Theory of Probability and Statistics
Author: Richard von Mises
Publsiher: Academic Press
Total Pages: 708
Release: 2014-05-12
ISBN 10: 1483264025
ISBN 13: 9781483264028
Language: EN, FR, DE, ES & NL

Mathematical Theory of Probability and Statistics Book Review:

Mathematical Theory of Probability and Statistics focuses on the contributions and influence of Richard von Mises on the processes, methodologies, and approaches involved in the mathematical theory of probability and statistics. The publication first elaborates on fundamentals, general label space, and basic properties of distributions. Discussions focus on Gaussian distribution, Poisson distribution, mean value variance and other moments, non-countable label space, basic assumptions, operations, and distribution function. The text then ponders on examples of combined operations and summation of chance variables characteristic function. The book takes a look at the asymptotic distribution of the sum of chance variables and probability inference. Topics include inference from a finite number of observations, law of large numbers, asymptotic distributions, limit distribution of the sum of independent discrete random variables, probability of the sum of rare events, and probability density. The text also focuses on the introduction to the theory of statistical functions and multivariate statistics. The publication is a dependable source of information for researchers interested in the mathematical theory of probability and statistics

Introduction to Probability and Statistics

Introduction to Probability and Statistics
Author: Narayan C Giri
Publsiher: Routledge
Total Pages: 560
Release: 2018-10-31
ISBN 10: 1351436694
ISBN 13: 9781351436694
Language: EN, FR, DE, ES & NL

Introduction to Probability and Statistics Book Review:

Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statist

Probability and Statistics

Probability and Statistics
Author: E. Rukmangadachari
Publsiher: Unknown
Total Pages: 135
Release: 2014
ISBN 10: 9789332558229
ISBN 13: 9332558221
Language: EN, FR, DE, ES & NL

Probability and Statistics Book Review: