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Probability And Statistical Inference

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Probability and Statistical Inference

Probability and Statistical Inference Book
Author : Robert V. Hogg,Elliot A. Tanis,Dale L. Zimmerman
Publisher : Pearson College Division
Release : 2013
ISBN : 9780321923271
Language : En, Es, Fr & De

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Book Description :

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 reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.

Probability and Statistical Inference

Probability and Statistical Inference Book
Author : Nitis Mukhopadhyay
Publisher : CRC Press
Release : 2000-03-22
ISBN : 9780824703790
Language : En, Es, Fr & De

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Book Description :

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 failures for exponential distributions develops notions of convergence in probability and distribution spotlights the central limit theorem (CLT) for the sample variance introduces sampling distributions and the Cornish-Fisher expansions concentrates on the fundamentals of sufficiency, information, completeness, and ancillarity explains Basu's Theorem as well as location, scale, and location-scale families of distributions covers moment estimators, maximum likelihood estimators (MLE), Rao-Blackwellization, and the Cramér-Rao inequality discusses uniformly minimum variance unbiased estimators (UMVUE) and Lehmann-Scheffé Theorems focuses on the Neyman-Pearson theory of most powerful (MP) and uniformly most powerful (UMP) tests of hypotheses, as well as confidence intervals includes the likelihood ratio (LR) tests for the mean, variance, and correlation coefficient summarizes Bayesian methods describes the monotone likelihood ratio (MLR) property handles variance stabilizing transformations provides a historical context for statistics and statistical discoveries showcases great statisticians through biographical notes Employing over 1400 equations to reinforce its subject matter, Probability and Statistical Inference is a groundbreaking text for first-year graduate and upper-level undergraduate courses in probability and statistical inference who have completed a calculus prerequisite, as well as a supplemental text for classes in Advanced Statistical Inference or Decision Theory.

Probability and Statistical Inference

Probability and Statistical Inference Book
Author : Hogg Robert V.
Publisher : Pearson Education India
Release : 2006
ISBN : 9788177585537
Language : En, Es, Fr & De

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Book Description :

Download Probability and Statistical Inference book written by Hogg Robert V., available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Probability and Statistical Inference

Probability and Statistical Inference Book
Author : J.G. Kalbfleisch
Publisher : Springer Science & Business Media
Release : 2012-12-06
ISBN : 1468400916
Language : En, Es, Fr & De

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Book Description :

Download Probability and Statistical Inference book written by J.G. Kalbfleisch, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Probability and Statistical Inference

Probability and Statistical Inference Book
Author : Robert Bartoszynski,Magdalena Niewiadomska-Bugaj
Publisher : John Wiley & Sons
Release : 2020-12-22
ISBN : 1119243807
Language : En, Es, Fr & De

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Book Description :

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.

Models for Probability and Statistical Inference

Models for Probability and Statistical Inference Book
Author : James H. Stapleton
Publisher : John Wiley & Sons
Release : 2007-12-14
ISBN : 9780470183403
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Robert V. Hogg,Elliot A. Tanis
Publisher : Macmillan College
Release : 1988
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Miltiadis C. Mavrakakis,Jeremy Penzer
Publisher : CRC Press
Release : 2021-03-29
ISBN : 131536204X
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : J.G. Kalbfleisch
Publisher : Springer
Release : 2012-09-27
ISBN : 9781461270096
Language : En, Es, Fr & De

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Book Description :

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.

Probably Not

Probably Not Book
Author : Lawrence N. Dworsky
Publisher : John Wiley & Sons
Release : 2019-09-04
ISBN : 1119518105
Language : En, Es, Fr & De

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Book Description :

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.

Probability and Statistical Inference

Probability and Statistical Inference Book
Author : J. K. Wani
Publisher : New York : Appleton-Century-Crofts
Release : 1971
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Probability and Statistical Inference book written by J. K. Wani, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Probability and Statistical Inference

Probability and Statistical Inference Book
Author : Nitis Mukhopadhyay
Publisher : CRC Press
Release : 2020-08-30
ISBN : 100022872X
Language : En, Es, Fr & De

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Book Description :

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

An Introduction to Probability and Statistical Inference

An Introduction to Probability and Statistical Inference Book
Author : George G. Roussas
Publisher : Academic Press
Release : 2014-09-25
ISBN : 9780128001141
Language : En, Es, Fr & De

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Book Description :

Probability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences (including social and behavioral), and other fields. Data must be properly collected, analyzed and interpreted in order for the results to be used with confidence. Award-winning author George Roussas introduces readers with no prior knowledge in probability or statistics to a thinking process to guide them toward the best solution to a posed question or situation. An Introduction to Probability and Statistical Inference provides a plethora of examples for each topic discussed, giving the reader more experience in applying statistical methods to different situations. 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

Hilbert Space Methods in Probability and Statistical Inference

Hilbert Space Methods in Probability and Statistical Inference Book
Author : Christopher G. Small,Don L. McLeish
Publisher : John Wiley & Sons
Release : 2011-09-15
ISBN : 1118165535
Language : En, Es, Fr & De

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Book Description :

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 and Statistical Inference

Probability and Statistical Inference Book
Author : Anonim
Publisher : Unknown
Release : 1985
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Probability and Statistical Inference book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Elements of Statistics

Elements of Statistics Book
Author : Donald R. Byrkit
Publisher : Unknown
Release : 1975
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Part I Descriptive methods; Organization and presentation of data; Measures of location and dispersion; Part II Probability and probability distributions. Probability. Probability distributions; Part III the binomial distribution; The normal distribution; Part IV Samples; Sampling and sampling distributions;Estimation of parameters; Part V decisions; Hypothesis testing; Tests concerning means and proportions; The chi-square distribution; analysis of variance; Correlation and regression; appendix A mathematics review; Appendix B Nonparametric tests.

All of Statistics

All of Statistics Book
Author : Larry Wasserman
Publisher : Springer Science & Business Media
Release : 2013-12-11
ISBN : 0387217363
Language : En, Es, Fr & De

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Book Description :

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.

Some Basic Theory for Statistical Inference

Some Basic Theory for Statistical Inference Book
Author : E.J.G. Pitman
Publisher : CRC Press
Release : 2018-01-18
ISBN : 1351093673
Language : En, Es, Fr & De

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Book Description :

In this book the author presents with elegance and precision some of the basic mathematical theory required for statistical inference at a level which will make it readable by most students of statistics.

Probability and Statistical Inference Global Edition

Probability and Statistical Inference  Global Edition Book
Author : Robert V. Hogg,Elliot A. Tanis
Publisher : Pearson Higher Ed
Release : 2015-02-27
ISBN : 1292062568
Language : En, Es, Fr & De

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Book Description :

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.