Mathematical Statistics PDF Download
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Author | : Robert V. Hogg |
Publisher | : |
Total Pages | : 88 |
Release | : 1995 |
Genre | : Mathematical statistics |
ISBN | : 9780132089357 |
Download Introduction to Mathematical Statistics, Fifth Edition Book in PDF, ePub and Kindle
Author | : Fetsje Bijma |
Publisher | : |
Total Pages | : 0 |
Release | : 2017 |
Genre | : Mathematical statistics |
ISBN | : 9789462985100 |
Download An Introduction to Mathematical Statistics Book in PDF, ePub and Kindle
This book gives an introduction into mathematical statistics.
Author | : Harald Cramér |
Publisher | : |
Total Pages | : 575 |
Release | : 1946 |
Genre | : Mathematical statistics |
ISBN | : |
Download Mathematical Methods of Statistics Book in PDF, ePub and Kindle
Author | : Dieter Rasch |
Publisher | : John Wiley & Sons |
Total Pages | : 886 |
Release | : 2018-01-09 |
Genre | : Mathematics |
ISBN | : 1119385237 |
Download Mathematical Statistics Book in PDF, ePub and Kindle
Explores mathematical statistics in its entirety—from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first presented for linear models with fixed, random, and mixed effects before being expanded to nonlinear models; statistical multi-decision problems like statistical selection procedures (Bechhofer and Gupta) and sequential tests; and design of experiments from a mathematical-statistical point of view. Most analysis methods have been supplemented by formulae for minimal sample sizes. The chapters also contain exercises with hints for solutions. Translated from the successful German text, Mathematical Statistics requires knowledge of probability theory (combinatorics, probability distributions, functions and sequences of random variables), which is typically taught in the earlier semesters of scientific and mathematical study courses. It teaches readers all about statistical analysis and covers the design of experiments. The book also describes optimal allocation in the chapters on regression analysis. Additionally, it features a chapter devoted solely to experimental designs. Classroom-tested with exercises included Practice-oriented (taken from day-to-day statistical work of the authors) Includes further studies including design of experiments and sample sizing Presents and uses IBM SPSS Statistics 24 for practical calculations of data Mathematical Statistics is a recommended text for advanced students and practitioners of math, probability, and statistics.
Author | : Shelemyahu Zacks |
Publisher | : John Wiley & Sons |
Total Pages | : 499 |
Release | : 2013-12-17 |
Genre | : Mathematics |
ISBN | : 1118605837 |
Download Examples and Problems in Mathematical Statistics Book in PDF, ePub and Kindle
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.
Author | : Brian Albright |
Publisher | : Jones & Bartlett Publishers |
Total Pages | : 607 |
Release | : 2014 |
Genre | : Mathematics |
ISBN | : 144968534X |
Download Essentials of Mathematical Statistics Book in PDF, ePub and Kindle
This text combines the topics generally found in main-stream elementary statistics books with the essentials of the underlying theory. The book begins with an axiomatic treatment of probability followed by chapters on discrete and continuous random variables and their associated distributions. It then introduces basic statistical concepts including summarizing data and interval parameter estimation, stressing the connection between probability and statistics. Final chapters introduce hypothesis testing, regression, and non-parametric techniques. All chapters provide a balance between conceptual understanding and theoretical understanding of the topics at hand.
Author | : Wolf Schwarz |
Publisher | : Springer Science & Business Media |
Total Pages | : 124 |
Release | : 2007-11-25 |
Genre | : Mathematics |
ISBN | : 0387735127 |
Download 40 Puzzles and Problems in Probability and Mathematical Statistics Book in PDF, ePub and Kindle
This book is based on the view that cognitive skills are best acquired by solving challenging, non-standard probability problems. Many puzzles and problems presented here are either new within a problem solving context (although as topics in fundamental research they are long known) or are variations of classical problems which follow directly from elementary concepts. A small number of particularly instructive problems is taken from previous sources which in this case are generally given. This book will be a handy resource for professors looking for problems to assign, for undergraduate math students, and for a more general audience of amateur scientists.
Author | : Victor M. Panaretos |
Publisher | : Birkhäuser |
Total Pages | : 177 |
Release | : 2016-06-01 |
Genre | : Mathematics |
ISBN | : 3319283413 |
Download Statistics for Mathematicians Book in PDF, ePub and Kindle
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.
Author | : George R. Terrell |
Publisher | : Springer Science & Business Media |
Total Pages | : 467 |
Release | : 2006-04-06 |
Genre | : Mathematics |
ISBN | : 0387227695 |
Download Mathematical Statistics Book in PDF, ePub and Kindle
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.
Author | : George G. Roussas |
Publisher | : Elsevier |
Total Pages | : 594 |
Release | : 1997-03-12 |
Genre | : Mathematics |
ISBN | : 0080493149 |
Download A Course in Mathematical Statistics Book in PDF, ePub and Kindle
A Course in Mathematical Statistics, Second Edition, contains enough material for a year-long course in probability and statistics for advanced undergraduate or first-year graduate students, or it can be used independently for a one-semester (or even one-quarter) course in probability alone. It bridges the gap between high and intermediate level texts so students without a sophisticated mathematical background can assimilate a fairly broad spectrum of the theorems and results from mathematical statistics. The coverage is extensive, and consists of probability and distribution theory, and statistical inference. * Contains 25% new material * Includes the most complete coverage of sufficiency * Transformation of Random Vectors * Sufficiency / Completeness / Exponential Families * Order Statistics * Elements of Nonparametric Density Estimation * Analysis of Variance (ANOVA) * Regression Analysis * Linear Models