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- Probability and Statistical Inference Global Edition

- Author : Robert V. Hogg
- Publsiher : Pearson Higher Ed
- Release : 27 February 2015
- ISBN : 1292062568
- Pages : 560 pages
- Rating : 4/5 from 21 reviews

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Read or download book entitled Probability and Statistical Inference Global Edition written by Robert V. Hogg which was release on 27 February 2015, this book published by Pearson Higher Ed. Available in PDF, EPUB and Kindle Format. Book excerpt: 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 concepts.

- Author : Robert V. Hogg,Elliot A. Tanis
- Publisher : Pearson Higher Ed
- Release Date : 2015-02-27
- Total pages : 560
- ISBN : 1292062568

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**Summary :** 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 ...

- Author : Nitis Mukhopadhyay
- Publisher : CRC Press
- Release Date : 2000-03-22
- Total pages : 665
- ISBN : 1292062568

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**Summary :** 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 ...

- Author : Harold J. Larson
- Publisher : John Wiley & Sons Incorporated
- Release Date : 1982-05-05
- Total pages : 637
- ISBN : 1292062568

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**Summary :** 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....

- Author : Robert V. Hogg,Elliot A. Tanis,Dale L. Zimmerman
- Publisher : Pearson College Division
- Release Date : 2013
- Total pages : 544
- ISBN : 1292062568

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**Summary :** Normal 0 false false false 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 ...

- Author : George G. Roussas
- Publisher : Academic Press
- Release Date : 2014-10-21
- Total pages : 624
- ISBN : 1292062568

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**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 ...

- Author : Harold J. Larson
- Publisher : John Wiley & Sons
- Release Date : 1974
- Total pages : 430
- ISBN : 1292062568

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**Summary :** 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....

- Author : Robert V. Hogg,Elliot A. Tanis
- Publisher : Macmillan College
- Release Date : 1988
- Total pages : 658
- ISBN : 1292062568

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**Summary :** 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 ...

- Author : Dennis Michael Connolly
- Publisher : Unknown
- Release Date : 1987
- Total pages : 121
- ISBN : 1292062568

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**Summary :** Download or read online Statistics I written by Dennis Michael Connolly, published by which was released on 1987. Get Statistics I Books now! Available in PDF, ePub and Kindle....

- Author : Donald R. Byrkit
- Publisher : Van Nostrand Reinhold Company
- Release Date : 1980
- Total pages : 482
- ISBN : 1292062568

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**Summary :** 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....

- Author : Vijay K. Rohatgi,A.K. Md. Ehsanes Saleh
- Publisher : John Wiley & Sons
- Release Date : 2015-08-31
- Total pages : 688
- ISBN : 1292062568

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**Summary :** 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, ...

- Author : J.G. Kalbfleisch
- Publisher : Springer
- Release Date : 2011-10-01
- Total pages : 360
- ISBN : 1292062568

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**Summary :** This book is in two volumes, and is intended as a text for introductory courses in probability and statistics at the second or third year university level. It em phasizes applications and logical principles rather than mathematical theory. A good background in freshman calculus is sufficient for most of the ...

- Author : George G. Roussas
- Publisher : Unknown
- Release Date : 2009
- Total pages : 523
- ISBN : 1292062568

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**Summary :** Download or read online Introduction to Probability and Statistical Inference written by George G. Roussas, published by which was released on 2009. Get Introduction to Probability and Statistical Inference Books now! Available in PDF, ePub and Kindle....

- Author : Vijay K. Rohatgi,A.K. Md. Ehsanes Saleh
- Publisher : John Wiley & Sons
- Release Date : 2008
- Total pages : 744
- ISBN : 1292062568

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**Summary :** Market_Desc: This book is intended for Upper Seniors and Beginning Graduate Students in Mathematics, as well as Students in Physics and Engineering with strong mathematical backgrounds. It was designed for a three-quarter course meeting four hours per week or a two-semester course meeting three hours per week. Special Features: · ...

- Author : Miltiadis C. Mavrakakis,Jeremy Penzer
- Publisher : CRC Press
- Release Date : 2021-03-29
- Total pages : 444
- ISBN : 1292062568

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**Summary :** 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 ...

- Author : Jack C. Kiefer
- Publisher : Springer Science & Business Media
- Release Date : 2012-12-06
- Total pages : 334
- ISBN : 1292062568

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**Summary :** This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory ...