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An Introduction to Probability and Statistical Inference

An Introduction to Probability and Statistical Inference
  • Author : George G. Roussas
  • Publsiher : Academic Press
  • Release : 21 October 2014
  • ISBN : 0128004371
  • Pages : 624 pages
  • Rating : 5/5 from 1 ratings
GET THIS BOOKAn Introduction to Probability and Statistical Inference

Summary:
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


An Introduction to Probability and Statistical Inference

An Introduction to Probability and Statistical Inference
  • Author : George G. Roussas
  • Publisher : Academic Press
  • Release : 21 October 2014
GET THIS BOOKAn Introduction to Probability and Statistical Inference

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

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Introduction to Probability Theory and Statistical Inference

Introduction to Probability Theory and Statistical Inference
  • Author : Harold J. Larson
  • Publisher : Wiley
  • Release : 05 May 1982
GET THIS BOOKIntroduction to Probability Theory and Statistical Inference

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.

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An Introduction to Probability and Statistics

An Introduction to Probability and Statistics
  • Author : Vijay K. Rohatgi,A.K. Md. Ehsanes Saleh
  • Publisher : John Wiley & Sons
  • Release : 01 September 2015
GET THIS BOOKAn Introduction to Probability and Statistics

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

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Probability and Statistical Inference

Probability and Statistical Inference
  • Author : Nitis Mukhopadhyay
  • Publisher : CRC Press
  • Release : 22 March 2000
GET THIS BOOKProbability and Statistical Inference

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 with an introduction to the basic ideas and techniques in probability theory and progressing to more rigorous topics, Probability and Statistical Inference studies the Helmert transformation for normal distributions and the waiting time between

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Probability and Statistical Inference

Probability and Statistical Inference
  • Author : Robert V. Hogg,Elliot A. Tanis
  • Publisher : Macmillan College
  • Release : 25 September 1988
GET THIS BOOKProbability and Statistical Inference

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).

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An Introduction to Probability Theory and Mathematical Statistics

An Introduction to Probability Theory and Mathematical Statistics
  • Author : V. K. Rohatgi
  • Publisher : John Wiley & Sons Incorporated
  • Release : 07 April 1976
GET THIS BOOKAn Introduction to Probability Theory and Mathematical Statistics

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.

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An Introduction to Probability and Statistics

An Introduction to Probability and Statistics
  • Author : Vijay K. Rohatgi,A.K. Md. Ehsanes Saleh
  • Publisher : John Wiley & Sons
  • Release : 31 August 2015
GET THIS BOOKAn Introduction to Probability and Statistics

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

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Introduction to Probability

Introduction to Probability
  • Author : George G. Roussas
  • Publisher : Academic Press
  • Release : 27 November 2013
GET THIS BOOKIntroduction to Probability

Introduction to Probability, Second Edition, discusses probability theory in a mathematically rigorous, yet accessible way. This one-semester basic probability textbook explains important concepts of probability while providing useful exercises and examples of real world applications for students to consider. This edition demonstrates the applicability of probability to many human activities with examples and illustrations. After introducing fundamental probability concepts, the book proceeds to topics including conditional probability and independence; numerical characteristics of a random variable; special distributions; joint probability density

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An Introduction to Statistical Inference and Its Applications with R

An Introduction to Statistical Inference and Its Applications with R
  • Author : Michael W. Trosset
  • Publisher : CRC Press
  • Release : 23 June 2009
GET THIS BOOKAn Introduction to Statistical Inference and Its Applications with R

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures

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Introduction to Probability and Statistics

Introduction to Probability and Statistics
  • Author : Narayan C Giri
  • Publisher : Routledge
  • Release : 31 October 2018
GET THIS BOOKIntroduction to Probability and Statistics

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

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Probability and Statistical Inference

Probability and Statistical Inference
  • Author : Robert V. Hogg,Elliot A. Tanis,Dale L. Zimmerman
  • Publisher : Pearson
  • Release : 11 January 2019
GET THIS BOOKProbability and Statistical Inference

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

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Probability and Statistical Inference, Global Edition

Probability and Statistical Inference, Global Edition
  • Author : Robert V. Hogg,Elliot A. Tanis
  • Publisher : Anonim
  • Release : 22 August 2014
GET THIS BOOKProbability and Statistical Inference, Global Edition

For a one- or two-semester course; calculus background presumed, no previous study of probability or statistics is required. Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key

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Elements of Statistics

Elements of Statistics
  • Author : Donald R. Byrkit
  • Publisher : Van Nostrand Reinhold Company
  • Release : 25 September 1980
GET THIS BOOKElements of Statistics

Organization and presentation of data; Measures of location and dispersion; Probability; Probability distributions; The binomial distribution; The normal distribution; Estimation of parameters; Hypothesis testing; The chi-square distribution; Analysis of variance; Correlation and regression; Nonparametric tests; Mathematical review.

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Probability and Statistical Inference

Probability and Statistical Inference
  • Author : Magdalena Niewiadomska-Bugaj,Robert Bartoszynski
  • Publisher : John Wiley & Sons
  • Release : 09 December 2020
GET THIS BOOKProbability and Statistical Inference

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

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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
  • Publisher : Springer Science & Business Media
  • Release : 30 March 2006
GET THIS BOOKA Modern Introduction to Probability and Statistics

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

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