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An Introduction to Statistical Inference and Its Applications with R by Michael W. Trosset
Title | An Introduction to Statistical Inference and Its Applications with R |
Author | Michael W. Trosset |
Publisher | CRC Press |
Release | 2009-06-23 |
Category | Mathematics |
Total Pages | 496 |
ISBN | 1584889489 |
Language | English, Spanish, and French |
Book Summary:
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
Introduction to Statistical Inference by E. S. Keeping
Title | Introduction to Statistical Inference |
Author | E. S. Keeping |
Publisher | Courier Corporation |
Release | 1995-01-01 |
Category | Mathematics |
Total Pages | 451 |
ISBN | 9780486685021 |
Language | English, Spanish, and French |
Book Summary:
This excellent text emphasizes the inferential and decision-making aspects of statistics. The first chapter is mainly concerned with the elements of the calculus of probability. Additional chapters cover the general properties of distributions, testing hypotheses, and more.
Statistical Inference by Paul H. Garthwaite
Title | Statistical Inference |
Author | Paul H. Garthwaite |
Publisher | Oxford University Press on Demand |
Release | 2002 |
Category | Mathematics |
Total Pages | 328 |
ISBN | 9780198572268 |
Language | English, Spanish, and French |
Book Summary:
Statistical inference is the foundation on which much of statistical practice is built. This book covers the topic at a level suitable for students and professionals who need to understand these foundations.
Statistical Inference by Helio S. Migon
Title | Statistical Inference |
Author | Helio S. Migon |
Publisher | CRC Press |
Release | 2014-09-03 |
Category | Mathematics |
Total Pages | 385 |
ISBN | 1439878803 |
Language | English, Spanish, and French |
Book Summary:
A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on both perspectives than the first edition. New to the Second Edition New material on empirical Bayes and penalized likelihoods and their impact on regression models Expanded material on hypothesis testing, method of moments, bias correction, and hierarchical models More examples and exercises More comparison between the approaches, including their similarities and differences Designed for advanced undergraduate and graduate courses, the text thoroughly covers statistical inference without delving too deep into technical details. It compares the Bayesian and frequentist schools of thought and explores procedures that lie on the border between the two. Many examples illustrate the methods and models, and exercises are included at the end of each chapter.
Introductory Statistical Inference by Nitis Mukhopadhyay
Title | Introductory Statistical Inference |
Author | Nitis Mukhopadhyay |
Publisher | CRC Press |
Release | 2006-02-07 |
Category | Mathematics |
Total Pages | 304 |
ISBN | 1574446134 |
Language | English, Spanish, and French |
Book Summary:
This gracefully organized text reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, figures, tables, and computer simulations to develop and illustrate concepts. Drills and boxed summaries emphasize and reinforce important ideas and special techniques. Beginning with a review of the basic concepts and methods in probability theory, moments, and moment generating functions, the author moves to more intricate topics. Introductory Statistical Inference studies multivariate random variables, exponential families of distributions, and standard probability inequalities. It develops the Helmert transformation for normal distributions, introduces the notions of convergence, and spotlights the central limit theorems. Coverage highlights sampling distributions, Basu's theorem, Rao-Blackwellization and the Cramér-Rao inequality. The text also provides in-depth coverage of Lehmann-Scheffé theorems, focuses on tests of hypotheses, describes Bayesian methods and the Bayes' estimator, and develops large-sample inference. The author provides a historical context for statistics and statistical discoveries and answers to a majority of the end-of-chapter exercises. Designed primarily for a one-semester, first-year graduate course in probability and statistical inference, this text serves readers from varied backgrounds, ranging from engineering, economics, agriculture, and bioscience to finance, financial mathematics, operations and information management, and psychology.
Introduction to Statistical Inference by Jack C. Kiefer
Title | Introduction to Statistical Inference |
Author | Jack C. Kiefer |
Publisher | Springer |
Release | 1987-07 |
Category | Mathematics |
Total Pages | 334 |
ISBN | |
Language | English, Spanish, and French |
Book Summary:
Introduction to statistical inference; Specification of a statistical problem; Classifications of statistical problems; Some criteria for choosing a procedure; Linear unbiased estimation; Sufficiency; Point estimation; Hypothesis testing; Confidence intervals.
Statistical Inference by George Casella
Title | Statistical Inference |
Author | George Casella |
Publisher | Cengage Learning |
Release | 2021-01-26 |
Category | Mathematics |
Total Pages | 688 |
ISBN | 0357753135 |
Language | English, Spanish, and French |
Book Summary:
This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. Intended for first-year graduate students, this book can be used for students majoring in statistics who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Probability and Statistical Inference by Robert Bartoszynski
Title | Probability and Statistical Inference |
Author | Robert Bartoszynski |
Publisher | John Wiley & Sons |
Release | 2020-12-22 |
Category | Mathematics |
Total Pages | 592 |
ISBN | 1119243807 |
Language | English, Spanish, and French |
Book Summary:
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.
Probability and Statistical Inference by Nitis Mukhopadhyay
Title | Probability and Statistical Inference |
Author | Nitis Mukhopadhyay |
Publisher | CRC Press |
Release | 2000-03-22 |
Category | Mathematics |
Total Pages | 665 |
ISBN | 9780824703790 |
Language | English, Spanish, and French |
Book 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 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.
Computer Age Statistical Inference by Bradley Efron
Title | Computer Age Statistical Inference |
Author | Bradley Efron |
Publisher | Cambridge University Press |
Release | 2016-07-20 |
Category | Business & Economics |
Total Pages | 475 |
ISBN | 1107149894 |
Language | English, Spanish, and French |
Book Summary:
Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders.