Introduction To Mathematical Statistics Global Edition

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Introduction to Mathematical Statistics, Global Edition

Author : Robert V. Hogg
Publisher : Pearson Higher Ed
ISBN 13 : 1292264780
Total Pages : 762 pages
Book Rating : 4.2/5 (922 download)

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Book Synopsis Introduction to Mathematical Statistics, Global Edition by : Robert V. Hogg

Download or read book Introduction to Mathematical Statistics, Global Edition written by Robert V. Hogg and published by Pearson Higher Ed. This book was released on 2019-11-04 with total page 762 pages. Available in PDF, EPUB and Kindle. Book excerpt: For courses in mathematical statistics. Comprehensive coverage of mathematical statistics – with a proven approach Introduction to Mathematical Statistics by Hogg, McKean, and Craig enhances student comprehension and retention with numerous, illustrative examples and exercises. Classical statistical inference procedures in estimation and testing are explored extensively, and the text’s flexible organisation makes it ideal for a range of mathematical statistics courses. Substantial changes to the 8th Edition – many based on user feedback – help students appreciate the connection between statistical theory and statistical practice, while other changes enhance the development and discussion of the statistical theory presented. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Introduction to Mathematical Statistics, Fifth Edition

Author : Robert V. Hogg
Publisher :
ISBN 13 : 9780132089357
Total Pages : 88 pages
Book Rating : 4.0/5 (893 download)

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Book Synopsis Introduction to Mathematical Statistics, Fifth Edition by : Robert V. Hogg

Download or read book Introduction to Mathematical Statistics, Fifth Edition written by Robert V. Hogg and published by . This book was released on 1995 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Mathematical Statistics

Author : Eduardo Jesus Arismendi-Pardi
Publisher :
ISBN 13 : 9781495177781
Total Pages : pages
Book Rating : 4.1/5 (777 download)

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Book Synopsis Introduction to Mathematical Statistics by : Eduardo Jesus Arismendi-Pardi

Download or read book Introduction to Mathematical Statistics written by Eduardo Jesus Arismendi-Pardi and published by . This book was released on 2017-10-29 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Mathematical Statistics and Its Applications

Author : Richard J. Larsen
Publisher : Pearson Higher Ed
ISBN 13 : 1292036729
Total Pages : 741 pages
Book Rating : 4.2/5 (92 download)

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Book Synopsis Introduction to Mathematical Statistics and Its Applications by : Richard J. Larsen

Download or read book Introduction to Mathematical Statistics and Its Applications written by Richard J. Larsen and published by Pearson Higher Ed. This book was released on 2013-08-28 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout the 5th Edition, the authors have added and updated examples and case studies, while also refining existing features that show a clear path from theory to practice. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Introduction to Probability and Mathematical Statistics

Author : Lee J. Bain
Publisher : Duxbury Press
ISBN 13 : 9780534380205
Total Pages : 644 pages
Book Rating : 4.3/5 (82 download)

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Book Synopsis Introduction to Probability and Mathematical Statistics by : Lee J. Bain

Download or read book Introduction to Probability and Mathematical Statistics written by Lee J. Bain and published by Duxbury Press. This book was released on 2000-03-01 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Second Edition of INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS focuses on developing the skills to build probability (stochastic) models. Lee J. Bain and Max Engelhardt focus on the mathematical development of the subject, with examples and exercises oriented toward applications.

Mathematical Statistics

Author : George R. Terrell
Publisher : Springer Science & Business Media
ISBN 13 : 0387227695
Total Pages : 467 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Mathematical Statistics by : George R. Terrell

Download or read book Mathematical Statistics written by George R. Terrell and published by Springer Science & Business Media. This book was released on 2006-04-06 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces the mathematical concepts and methods that underlie statistics. The course is unified, in the sense that no prior knowledge of probability theory is assumed, being developed as needed. The book is committed to both a high level of mathematical seriousness and to an intimate connection with application. In its teaching style, the book is * mathematically complete * concrete * constructive * active. The text is aimed at the upper undergraduate or the beginning Masters program level. It assumes the usual two-year college mathematics sequence, including an introduction to multiple integrals, matrix algebra, and infinite series.

Introduction to Mathematical Statistics

Author : Robert V. Hogg
Publisher : Pearson Higher Ed
ISBN 13 : 0321849434
Total Pages : 705 pages
Book Rating : 4.3/5 (218 download)

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Book Synopsis Introduction to Mathematical Statistics by : Robert V. Hogg

Download or read book Introduction to Mathematical Statistics written by Robert V. Hogg and published by Pearson Higher Ed. This book was released on 2012-02-28 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Introduction to Mathematical Statistics, Seventh Edition, offers a proven approach designed to provide you with an excellent foundation in mathematical statistics. Ample examples and exercises throughout the text illustrate concepts to help you gain a solid understanding of the material.

Probability and Mathematical Statistics

Author : Eugene Lukacs
Publisher : Academic Press
ISBN 13 : 1483269205
Total Pages : 255 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Probability and Mathematical Statistics by : Eugene Lukacs

Download or read book Probability and Mathematical Statistics written by Eugene Lukacs and published by Academic Press. This book was released on 2014-05-10 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability and Mathematical Statistics: An Introduction provides a well-balanced first introduction to probability theory and mathematical statistics. This book is organized into two sections encompassing nine chapters. The first part deals with the concept and elementary properties of probability space, and random variables and their probability distributions. This part also considers the principles of limit theorems, the distribution of random variables, and the so-called student’s distribution. The second part explores pertinent topics in mathematical statistics, including the concept of sampling, estimation, and hypotheses testing. This book is intended primarily for undergraduate statistics students.

Mathematical Statistics

Author : Richard J. Rossi
Publisher : John Wiley & Sons
ISBN 13 : 1118771168
Total Pages : 611 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Mathematical Statistics by : Richard J. Rossi

Download or read book Mathematical Statistics written by Richard J. Rossi and published by John Wiley & Sons. This book was released on 2018-06-14 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are uniquely based on the likelihood function This book addresses mathematical statistics for upper-undergraduates and first year graduate students, tying chapters on estimation, confidence intervals, hypothesis testing, and statistical models together to present a unifying focus on the likelihood function. It also emphasizes the important ideas in statistical modeling, such as sufficiency, exponential family distributions, and large sample properties. Mathematical Statistics: An Introduction to Likelihood Based Inference makes advanced topics accessible and understandable and covers many topics in more depth than typical mathematical statistics textbooks. It includes numerous examples, case studies, a large number of exercises ranging from drill and skill to extremely difficult problems, and many of the important theorems of mathematical statistics along with their proofs. In addition to the connected chapters mentioned above, Mathematical Statistics covers likelihood-based estimation, with emphasis on multidimensional parameter spaces and range dependent support. It also includes a chapter on confidence intervals, which contains examples of exact confidence intervals along with the standard large sample confidence intervals based on the MLE's and bootstrap confidence intervals. There’s also a chapter on parametric statistical models featuring sections on non-iid observations, linear regression, logistic regression, Poisson regression, and linear models. Prepares students with the tools needed to be successful in their future work in statistics data science Includes practical case studies including real-life data collected from Yellowstone National Park, the Donner party, and the Titanic voyage Emphasizes the important ideas to statistical modeling, such as sufficiency, exponential family distributions, and large sample properties Includes sections on Bayesian estimation and credible intervals Features examples, problems, and solutions Mathematical Statistics: An Introduction to Likelihood Based Inference is an ideal textbook for upper-undergraduate and graduate courses in probability, mathematical statistics, and/or statistical inference.

Statistics

Author : David W. Scott
Publisher : John Wiley & Sons
ISBN 13 : 1119675847
Total Pages : 180 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Statistics by : David W. Scott

Download or read book Statistics written by David W. Scott and published by John Wiley & Sons. This book was released on 2020-07-13 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistic: A Concise Mathematical Introduction for Students and Scientists offers a one academic term text that prepares the student to broaden their skills in statistics, probability and inference, prior to selecting their follow-on courses in their chosen fields, whether it be engineering, computer science, programming, data sciences, business or economics. The book places focus early on continuous measurements, as well as discrete random variables. By invoking simple and intuitive models and geometric probability, discrete and continuous experiments and probabilities are discussed throughout the book in a natural way. Classical probability, random variables, and inference are discussed, as well as material on understanding data and topics of special interest. Topics discussed include: • Classical equally likely outcomes • Variety of models of discrete and continuous probability laws • Likelihood function and ratio • Inference • Bayesian statistics With the growth in the volume of data generated in many disciplines that is enabling the growth in data science, companies now demand statistically literate scientists and this textbook is the answer, suited for undergraduates studying science or engineering, be it computer science, economics, life sciences, environmental, business, amongst many others. Basic knowledge of bivariate calculus, R language, Matematica and JMP is useful, however there is an accompanying website including sample R and Mathematica code to help instructors and students.

An Introduction to Mathematical Statistics

Author : Fetsje Bijma
Publisher :
ISBN 13 : 9789462985100
Total Pages : 0 pages
Book Rating : 4.9/5 (851 download)

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Book Synopsis An Introduction to Mathematical Statistics by : Fetsje Bijma

Download or read book An Introduction to Mathematical Statistics written by Fetsje Bijma and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives an introduction into mathematical statistics.

Mathematical Statistics

Author : Wiebe R. Pestman
Publisher : Walter de Gruyter
ISBN 13 : 3110208539
Total Pages : 608 pages
Book Rating : 4.1/5 (12 download)

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Book Synopsis Mathematical Statistics by : Wiebe R. Pestman

Download or read book Mathematical Statistics written by Wiebe R. Pestman and published by Walter de Gruyter. This book was released on 2009-03-26 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a broad and solid introduction to mathematical statistics, including the classical subjects hypothesis testing, normal regression analysis, and normal analysis of variance. In addition, non-parametric statistics and vectorial statistics are considered, as well as applications of stochastic analysis in modern statistics, e.g., Kolmogorov-Smirnov testing, smoothing techniques, robustness and density estimation. For students with some elementary mathematical background. With many exercises. Prerequisites from measure theory and linear algebra are presented.

All of Statistics

Author : Larry Wasserman
Publisher : Springer Science & Business Media
ISBN 13 : 0387217363
Total Pages : 446 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis All of Statistics by : Larry Wasserman

Download or read book All of Statistics written by Larry Wasserman and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction to Mathematical Statistics

Author : Robert V. Hogg
Publisher :
ISBN 13 : 9780134686998
Total Pages : 768 pages
Book Rating : 4.6/5 (869 download)

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Book Synopsis Introduction to Mathematical Statistics by : Robert V. Hogg

Download or read book Introduction to Mathematical Statistics written by Robert V. Hogg and published by . This book was released on 2018-01-10 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: For courses in mathematical statistics. Comprehensive coverage of mathematical statistics -- with a proven approach Introduction to Mathematical Statistics by Hogg, McKean, and Craig enhances student comprehension and retention with numerous, illustrative examples and exercises. Classical statistical inference procedures in estimation and testing are explored extensively, and the text's flexible organization makes it ideal for a range of mathematical statistics courses. Substantial changes to the 8th Edition -- many based on user feedback -- help students appreciate the connection between statistical theory and statistical practice, while other changes enhance the development and discussion of the statistical theory presented. 0134686993 / 9780134686998 Introduction to Mathematical Statistics, 8/e

Introduction to Mathematical Statistics, Books a la Carte Edition

Author : Robert T. Hogg
Publisher : Prentice Hall
ISBN 13 : 9780321794710
Total Pages : 0 pages
Book Rating : 4.7/5 (947 download)

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Book Synopsis Introduction to Mathematical Statistics, Books a la Carte Edition by : Robert T. Hogg

Download or read book Introduction to Mathematical Statistics, Books a la Carte Edition written by Robert T. Hogg and published by Prentice Hall. This book was released on 2012-01-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Mathematical Statistics: Pearson New International Edition PDF eBook

Author : Robert V. Hogg
Publisher : Pearson Higher Ed
ISBN 13 : 1292037628
Total Pages : 655 pages
Book Rating : 4.2/5 (92 download)

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Book Synopsis Introduction to Mathematical Statistics: Pearson New International Edition PDF eBook by : Robert V. Hogg

Download or read book Introduction to Mathematical Statistics: Pearson New International Edition PDF eBook written by Robert V. Hogg and published by Pearson Higher Ed. This book was released on 2013-08-29 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Mathematical Statistics, Seventh Edition, provides students with a comprehensive introduction to mathematical statistics. Continuing its proven approach, the Seventh Edition has been updated with new examples, exercises, and content for an even stronger presentation of the material.

Mathematical Statistics with Applications in R

Author : Kandethody M. Ramachandran
Publisher : Elsevier
ISBN 13 : 012417132X
Total Pages : 825 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Mathematical Statistics with Applications in R by : Kandethody M. Ramachandran

Download or read book Mathematical Statistics with Applications in R written by Kandethody M. Ramachandran and published by Elsevier. This book was released on 2014-09-14 with total page 825 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner.This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students.Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. Step-by-step procedure to solve real problems, making the topic more accessible Exercises blend theory and modern applications Practical, real-world chapter projects Provides an optional section in each chapter on using Minitab, SPSS and SAS commands Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods