Introduction To Probability And Statistics PDF Books

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Introduction To Probability And Statistics

Introduction To Probability And Statistics
Author: William Mendenhall
Publisher: Cengage Learning
ISBN: 9780495389538
Size: 24.67 MB
Format: PDF, Mobi
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Used by hundreds of thousands of students since its first edition, INTRODUCTION TO PROBABILITY AND STATISTICS, Thirteenth Edition, continues to blend the best of its proven coverage with new innovations. While retaining the straightforward presentation and traditional outline for descriptive and inferential statistics, this new edition incorporates helpful learning aids like MyPersonal Trainer, MyApplet, and MyTip to ensure that students learn and understand the relevance of the material. Written for the higher end of the traditional introductory statistics market, the book takes advantage of modern technology--including computational software and interactive visual tools--to facilitate statistical reasoning as well as the interpretation of statistical results. In addition to showing how to apply statistical procedures, the authors explain how to describe real sets of data meaningfully, what the statistical tests mean in terms of their practical applications, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. Users will also appreciate the book's error-free material and exercises. The new edition retains the statistical integrity, examples, exercises, and exposition that have made this text a market leader--and builds upon this tradition of excellence with new technology integration. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
A Modern Introduction to Probability and Statistics
Language: en
Pages: 488
Authors: F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester
Categories: Mathematics
Type: BOOK - Published: 2006-03-30 - Publisher: Springer Science & Business Media
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
Introduction to Probability and Statistics
Language: en
Pages: 784
Authors: William Mendenhall, Robert J. Beaver, Barbara M. Beaver
Categories: Mathematics
Type: BOOK - Published: 2008-02-11 - Publisher: Cengage Learning
Used by hundreds of thousands of students since its first edition, INTRODUCTION TO PROBABILITY AND STATISTICS, Thirteenth Edition, continues to blend the best of its proven coverage with new innovations. While retaining the straightforward presentation and traditional outline for descriptive and inferential statistics, this new edition incorporates helpful learning aids like MyPersonal Trainer, MyApplet, and MyTip to ensure that students learn and understand the relevance of the material. Written for the higher end of the traditional introductory statistics market, the book takes advantage of modern technology--including computational software and interactive visual tools--to facilitate statistical reasoning as well as the interpretation of statistical results. In addition to showing how to apply statistical procedures, the authors explain how to describe real sets of data meaningfully, what the statistical tests mean in terms of their practical applications, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. Users will also appreciate the book's error-free material and exercises. The new edition retains the statistical integrity, examples, exercises, and exposition that have made this text a market leader--and builds upon this tradition of excellence with new technology integration. Important Notice: Media content referenced within
An Introduction to Probability and Statistics
Language: en
Pages: 688
Authors: Vijay K. Rohatgi, A.K. Md. Ehsanes Saleh
Categories: Mathematics
Type: BOOK - Published: 2015-08-31 - Publisher: John Wiley & Sons
This Third Edition provides a solid and well-balancedintroduction to probability theory and mathematicalstatistics. The book is divided into three parts: Chapters1-6 form the core of probability fundamentals and foundations;Chapters 7-11 cover statistics inference; and the remainingchapters focus on special topics. For course sequences thatseparate probability and mathematics statistics, the first part ofthe book can be used for a course in probability theory, followedby a course in mathematical statistics based on the second part,and possibly, one or more chapters on special topics. Thebook contains over 550 problems, 350 worked-out examples, and 200side notes for reader reference. Numerous figures have beenadded to illustrate examples and proofs, and answers to selectproblems are now included. Many parts of the book haveundergone substantial rewriting, and the book has also beenreorganized. Chapters 6 and 7 have been interchanged to emphasizethe role of asymptotics in statistics, and the new Chapter 7contains all of the needed basic material on asymptotics. Chapter 6 also includes new material on resampling, specificallybootstrap. The new Further Results chapter include someestimation procedures such as M-estimatesand bootstrapping. A new chapter on regression analysishas also been added and contains sections on linear regression,multiple regression, subset regression, logistic regression, andPoisson regression.
Introduction to Probability Theory and Statistical Inference
Language: en
Pages: 637
Authors: Harold J. Larson
Categories: Mathematics
Type: BOOK - Published: 1982-05-05 - Publisher: John Wiley & Sons Incorporated
Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on descriptive statistics. Cramer-Rao bounds for variance of estimators, two-sample inference procedures, bivariate normal probability law, F-Distribution, and the analysis of variance and non-parametric procedures. Contains numerous practical examples and exercises.
Introduction to Probability and Statistics in the Life Sciences
Language: en
Pages: 258
Authors: David Vaughan
Categories: Mathematics
Type: BOOK - Published: 2013-08-23 - Publisher: Kendall/Hunt Publishing Company
Books about Introduction to Probability and Statistics in the Life Sciences
Introduction to Probability and Statistics for Engineers and Scientists
Language: en
Pages: 680
Authors: Sheldon M. Ross
Categories: Mathematics
Type: BOOK - Published: 2009-03-13 - Publisher: Academic Press
This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage. As with the previous editions, Ross' text has remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations. New to the 4th Edition: - New Chapter on Simulation, Bootstrap Statistical Methods, and Permutation Tests - 20% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science - New Real data examples that use significant real data from actual studies across life science, engineering, computing and business - New End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material
Introduction to Probability, Statistics, and Random Processes
Language: en
Pages: 746
Authors: Hossein Pishro-Nik
Categories: Probabilities
Type: BOOK - Published: 2014-08-15 - Publisher:
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.
An Introduction to Probability Theory and Mathematical Statistics
Language: en
Pages: 684
Authors: V. K. Rohatgi
Categories: Mathematics
Type: BOOK - Published: 1976-04-07 - Publisher: John Wiley & Sons Incorporated
Sets and classes; Calculus; Linear Algebra; Probability; Random variables and their probability distributions; Moments and generating functions; Random vectors; Some special distributions; Limit theorems; Sample moments and their distributions; The theory of point estimation; Neyman-pearson theory of testing of hypotheses; Some further results on hypotheses testing; Confidence estimation; The general linear hypothesis; nonparametric statistical inference; Sequential statistical inference.
Introduction to Probability and Statistics
Language: en
Pages: 560
Authors: Narayan C Giri
Categories: Mathematics
Type: BOOK - Published: 2018-10-31 - Publisher: Routledge
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
Statistik für Dummies
Language: de
Pages: 352
Authors: Deborah Rumsey
Categories: Mathematics
Type: BOOK - Published: 2010-04-05 - Publisher: John Wiley & Sons
Entdecken Sie mit "Statistik für Dummies" Ihren Spaß an der Statistik und werfen Sie einen Blick hinter die Kulissen der so beliebten Manipulation von Zahlenmaterial! Deborah Rumsey zeigt Ihnen das nötige statistische Handwerkszeug wie Stichprobe, Wahrscheinlichkeit, Bias, Median, Durchschnitt und Korrelation. Sie lernen die verschiedenen grafischen Darstellungsmöglichkeiten von statistischem Material kennen und werden über die unterschiedlichen Methoden der Auswertung erstaunt sein. Schärfen Sie mit diesem Buch Ihr Bewusstsein für Zahlen und deren Interpretation, so dass Ihnen keiner mehr etwas vormachen kann!