PROBLEMS AND SOLUTIONS IN THEORETICAL STATISTICS

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ISBN 13 :
Total Pages : 193 pages
Book Rating : 4.:/5 (16 download)

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Book Synopsis PROBLEMS AND SOLUTIONS IN THEORETICAL STATISTICS by : David R. Cox

Download or read book PROBLEMS AND SOLUTIONS IN THEORETICAL STATISTICS written by David R. Cox and published by . This book was released on 1980 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Problems and Solutions in Theoretical Statistics

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (77 download)

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Book Synopsis Problems and Solutions in Theoretical Statistics by : David Roxbee Cox

Download or read book Problems and Solutions in Theoretical Statistics written by David Roxbee Cox and published by . This book was released on 1978 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Problems and Solutions in Theoretical Statistics

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Publisher :
ISBN 13 :
Total Pages : 193 pages
Book Rating : 4.:/5 (372 download)

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Book Synopsis Problems and Solutions in Theoretical Statistics by : David Roxbee Cox

Download or read book Problems and Solutions in Theoretical Statistics written by David Roxbee Cox and published by . This book was released on 1986 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Problems and Solutions in Theoretical Statistics

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Publisher : Springer
ISBN 13 : 9789400957923
Total Pages : 0 pages
Book Rating : 4.9/5 (579 download)

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Book Synopsis Problems and Solutions in Theoretical Statistics by : David Cox

Download or read book Problems and Solutions in Theoretical Statistics written by David Cox and published by Springer. This book was released on 1978-08-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In our book Theoretical Statistics we gave about 150 Further results and exercises mostly intended to illustrate material of intrinsic interest that it was not possible to cover in the main text. In many cases the statements were based quite directly on recent papers. The present book gives outline solutions and discussion of these problems. To make the book selfcontained we have preceded each set of problems by a brief summary of the main general ideas required. The collection of these summaries provides a rapid review of the theory of statistics. The book contains a substantial amount of general material not previously available in book form. The detailed solution of special problems is a vital part of the study of any mathematical subject and we hope therefore that teachers and students of statistics especially at graduate level will find the problems and outline solutions helpful. In addition we hope that research workers in statistics interested in special problems will find the book an effective review of some useful theoretical ideas including the associated elementary mathematical techniques. While the numbering and arrangement of the problems is the same as in Theoretical Statistics, we have rewritten a number of the problems, partly in order to make them self contained and partly for clarification and correction.

Applied Statistics

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Publisher : John Wiley & Sons
ISBN 13 : 1119551528
Total Pages : 509 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Applied Statistics by : Dieter Rasch

Download or read book Applied Statistics written by Dieter Rasch and published by John Wiley & Sons. This book was released on 2019-10-07 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory. Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background—taking the lessons learned from there to another level with this book’s addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics. Offers a practical over theoretical approach to the subject of applied statistics Provides a pre-experimental as well as post-experimental approach to applied statistics Features classroom tested material Applicable to a wide range of people working in experimental design and all empirical sciences Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others.

Theoretical Statistics

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Publisher : CRC Press
ISBN 13 : 9780412161605
Total Pages : 1060 pages
Book Rating : 4.1/5 (616 download)

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Book Synopsis Theoretical Statistics by : D.R. Cox

Download or read book Theoretical Statistics written by D.R. Cox and published by CRC Press. This book was released on 1979-09-06 with total page 1060 pages. Available in PDF, EPUB and Kindle. Book excerpt: A text that stresses the general concepts of the theory of statistics Theoretical Statistics provides a systematic statement of the theory of statistics, emphasizing general concepts rather than mathematical rigor. Chapters 1 through 3 provide an overview of statistics and discuss some of the basic philosophical ideas and problems behind statistical procedures. Chapters 4 and 5 cover hypothesis testing with simple and null hypotheses, respectively. Subsequent chapters discuss non-parametrics, interval estimation, point estimation, asymptotics, Bayesian procedure, and deviation theory. Student familiarity with standard statistical techniques is assumed.

Theoretical Statistics

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Publisher : Springer Science & Business Media
ISBN 13 : 0387938397
Total Pages : 543 pages
Book Rating : 4.3/5 (879 download)

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Book Synopsis Theoretical Statistics by : Robert W. Keener

Download or read book Theoretical Statistics written by Robert W. Keener and published by Springer Science & Business Media. This book was released on 2010-09-08 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorous fashion. The discussion assumes a background in advanced calculus, linear algebra, probability, and some analysis and topology. Measure theory is used, but the notation and basic results needed are presented in an initial chapter on probability, so prior knowledge of these topics is not essential. The presentation is designed to expose students to as many of the central ideas and topics in the discipline as possible, balancing various approaches to inference as well as exact, numerical, and large sample methods. Moving beyond more standard material, the book includes chapters introducing bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and analysis. The book has a rich collection of exercises. Several of them illustrate how the theory developed in the book may be used in various applications. Solutions to many of the exercises are included in an appendix.

Examples and Problems in Mathematical Statistics

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Publisher : John Wiley & Sons
ISBN 13 : 1118605837
Total Pages : 499 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Examples and Problems in Mathematical Statistics by : Shelemyahu Zacks

Download or read book Examples and Problems in Mathematical Statistics written by Shelemyahu Zacks and published by John Wiley & Sons. This book was released on 2013-12-17 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises With a clear and detailed approach to the fundamentals of statistical theory, Examples and Problems in Mathematical Statistics uniquely bridges the gap between theory andapplication and presents numerous problem-solving examples that illustrate the relatednotations and proven results. Written by an established authority in probability and mathematical statistics, each chapter begins with a theoretical presentation to introduce both the topic and the important results in an effort to aid in overall comprehension. Examples are then provided, followed by problems, and finally, solutions to some of the earlier problems. In addition, Examples and Problems in Mathematical Statistics features: Over 160 practical and interesting real-world examples from a variety of fields including engineering, mathematics, and statistics to help readers become proficient in theoretical problem solving More than 430 unique exercises with select solutions Key statistical inference topics, such as probability theory, statistical distributions, sufficient statistics, information in samples, testing statistical hypotheses, statistical estimation, confidence and tolerance intervals, large sample theory, and Bayesian analysis Recommended for graduate-level courses in probability and statistical inference, Examples and Problems in Mathematical Statistics is also an ideal reference for applied statisticians and researchers.

The Humongous Book of Statistics Problems

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Publisher : Penguin
ISBN 13 : 1101151390
Total Pages : 732 pages
Book Rating : 4.1/5 (11 download)

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Book Synopsis The Humongous Book of Statistics Problems by : Robert Donnelly

Download or read book The Humongous Book of Statistics Problems written by Robert Donnelly and published by Penguin. This book was released on 2009-12-01 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to solve statistics problems—and make them no problem! Most math and science study guides are dry and difficult, but this is the exception. Following the successful The Humongous Books in calculus and algebra, bestselling author Mike Kelley takes a typical statistics workbook, full of solved problems, and writes notes in the margins, adding missing steps and simplifying concepts and solutions. By learning how to interpret and solve problems as they are presented in statistics courses, students prepare to solve those difficult problems that were never discussed in class but are always on exams. There are also annotated notes throughout the book to clarify each problem—all guided by an author with a great track record for helping students and math enthusiasts. His website (calculus-help.com) reaches thousands of students every month.

Basics of Modern Mathematical Statistics

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Publisher : Springer Science & Business Media
ISBN 13 : 3642368506
Total Pages : 210 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Basics of Modern Mathematical Statistics by : Wolfgang Karl Härdle

Download or read book Basics of Modern Mathematical Statistics written by Wolfgang Karl Härdle and published by Springer Science & Business Media. This book was released on 2013-11-08 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​The complexity of today’s statistical data calls for modern mathematical tools. Many fields of science make use of mathematical statistics and require continuous updating on statistical technologies. Practice makes perfect, since mastering the tools makes them applicable. Our book of exercises and solutions offers a wide range of applications and numerical solutions based on R. In modern mathematical statistics, the purpose is to provide statistics students with a number of basic exercises and also an understanding of how the theory can be applied to real-world problems. The application aspect is also quite important, as most previous exercise books are mostly on theoretical derivations. Also we add some problems from topics often encountered in recent research papers. The book was written for statistics students with one or two years of coursework in mathematical statistics and probability, professors who hold courses in mathematical statistics, and researchers in other fields who would like to do some exercises on math statistics.

Excersises in Theoretical Statistics

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ISBN 13 :
Total Pages : 179 pages
Book Rating : 4.:/5 (897 download)

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Book Synopsis Excersises in Theoretical Statistics by : M. G. Kendall

Download or read book Excersises in Theoretical Statistics written by M. G. Kendall and published by . This book was released on 1954 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Theory

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ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.:/5 (636 download)

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Book Synopsis Statistical Theory by : Bernard William Lindgren

Download or read book Statistical Theory written by Bernard William Lindgren and published by . This book was released on 1968 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Exercises and Solutions in Biostatistical Theory

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Publisher : CRC Press
ISBN 13 : 1584887222
Total Pages : 422 pages
Book Rating : 4.5/5 (848 download)

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Book Synopsis Exercises and Solutions in Biostatistical Theory by : Lawrence Kupper

Download or read book Exercises and Solutions in Biostatistical Theory written by Lawrence Kupper and published by CRC Press. This book was released on 2010-11-09 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawn from nearly four decades of Lawrence L. Kupper’s teaching experiences as a distinguished professor in the Department of Biostatistics at the University of North Carolina, Exercises and Solutions in Biostatistical Theory presents theoretical statistical concepts, numerous exercises, and detailed solutions that span topics from basic probability to statistical inference. The text links theoretical biostatistical principles to real-world situations, including some of the authors’ own biostatistical work that has addressed complicated design and analysis issues in the health sciences. This classroom-tested material is arranged sequentially starting with a chapter on basic probability theory, followed by chapters on univariate distribution theory and multivariate distribution theory. The last two chapters on statistical inference cover estimation theory and hypothesis testing theory. Each chapter begins with an in-depth introduction that summarizes the biostatistical principles needed to help solve the exercises. Exercises range in level of difficulty from fairly basic to more challenging (identified with asterisks). By working through the exercises and detailed solutions in this book, students will develop a deep understanding of the principles of biostatistical theory. The text shows how the biostatistical theory is effectively used to address important biostatistical issues in a variety of real-world settings. Mastering the theoretical biostatistical principles described in the book will prepare students for successful study of higher-level statistical theory and will help them become better biostatisticians.

Statistics for Mathematicians

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Publisher : Birkhäuser
ISBN 13 : 3319283413
Total Pages : 190 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Statistics for Mathematicians by : Victor M. Panaretos

Download or read book Statistics for Mathematicians written by Victor M. Panaretos and published by Birkhäuser. This book was released on 2016-06-01 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a coherent introduction to the main concepts and methods of one-parameter statistical inference. Intended for students of Mathematics taking their first course in Statistics, the focus is on Statistics for Mathematicians rather than on Mathematical Statistics. The goal is not to focus on the mathematical/theoretical aspects of the subject, but rather to provide an introduction to the subject tailored to the mindset and tastes of Mathematics students, who are sometimes turned off by the informal nature of Statistics courses. This book can be used as the basis for an elementary semester-long first course on Statistics with a firm sense of direction that does not sacrifice rigor. The deeper goal of the text is to attract the attention of promising Mathematics students.

Exercises and Solutions in Statistical Theory

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Publisher : Chapman and Hall/CRC
ISBN 13 : 9781466572898
Total Pages : 0 pages
Book Rating : 4.5/5 (728 download)

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Book Synopsis Exercises and Solutions in Statistical Theory by : Lawrence L. Kupper

Download or read book Exercises and Solutions in Statistical Theory written by Lawrence L. Kupper and published by Chapman and Hall/CRC. This book was released on 2013-06-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exercises and Solutions in Statistical Theory helps students and scientists obtain an in-depth understanding of statistical theory by working on and reviewing solutions to interesting and challenging exercises of practical importance. Unlike similar books, this text incorporates many exercises that apply to real-world settings and provides much more thorough solutions. The exercises and selected detailed solutions cover from basic probability theory through to the theory of statistical inference. Many of the exercises deal with important, real-life scenarios in areas such as medicine, epidemiology, actuarial science, social science, engineering, physics, chemistry, biology, environmental health, and sports. Several exercises illustrate the utility of study design strategies, sampling from finite populations, maximum likelihood, asymptotic theory, latent class analysis, conditional inference, regression analysis, generalized linear models, Bayesian analysis, and other statistical topics. The book also contains references to published books and articles that offer more information about the statistical concepts. Designed as a supplement for advanced undergraduate and graduate courses, this text is a valuable source of classroom examples, homework problems, and examination questions. It is also useful for scientists interested in enhancing or refreshing their theoretical statistical skills. The book improves readers’ comprehension of the principles of statistical theory and helps them see how the principles can be used in practice. By mastering the theoretical statistical strategies necessary to solve the exercises, readers will be prepared to successfully study even higher-level statistical theory.

Statistics: Problems and Solutions

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Publisher : Springer
ISBN 13 : 1349010634
Total Pages : 238 pages
Book Rating : 4.3/5 (49 download)

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Book Synopsis Statistics: Problems and Solutions by : John Murdoch

Download or read book Statistics: Problems and Solutions written by John Murdoch and published by Springer. This book was released on 1973-06-18 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mathematical Problems in Data Science

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Publisher : Springer
ISBN 13 : 3319251279
Total Pages : 219 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Mathematical Problems in Data Science by : Li M. Chen

Download or read book Mathematical Problems in Data Science written by Li M. Chen and published by Springer. This book was released on 2015-12-15 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learning methods. For unsolved problems such as incomplete data relation and reconstruction, the book includes possible solutions and both statistical and computational methods for data analysis. Initial chapters focus on exploring the properties of incomplete data sets and partial-connectedness among data points or data sets. Discussions also cover the completion problem of Netflix matrix; machine learning method on massive data sets; image segmentation and video search. This book introduces software tools for data science and Big Data such MapReduce, Hadoop, and Spark. This book contains three parts. The first part explores the fundamental tools of data science. It includes basic graph theoretical methods, statistical and AI methods for massive data sets. In second part, chapters focus on the procedural treatment of data science problems including machine learning methods, mathematical image and video processing, topological data analysis, and statistical methods. The final section provides case studies on special topics in variational learning, manifold learning, business and financial data rec overy, geometric search, and computing models. Mathematical Problems in Data Science is a valuable resource for researchers and professionals working in data science, information systems and networks. Advanced-level students studying computer science, electrical engineering and mathematics will also find the content helpful.