Statistics Topics

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Statistics Topics

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Author : Salil Mehta
language : en
Publisher: CreateSpace
Release Date : 2014-04-01

Statistics Topics written by Salil Mehta and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-01 with Mathematics categories.

Salil Mehta is a top-selling author, academic statistician, risk strategist, and C-suite advisor. He has appeared numerously in the popular media, academic journals, American Banker, and through prestigious statistics organizations such as Society of Actuaries, CFA Institute, American Statistical Association, and the Royal Statistical Society. Salil is also the creator of the popular web log, Statistical Ideas, and the forthcoming Kids' Statistics internet-playground.This pedagogical book is more sophisticated then the web log, and colorfully weaves statistics topics into stories concerning everyday life issues. This topic is of greater importance with the growing demand for big data and an information revolution pushing their way into relevancy, by pouring over large heaps of data, but still wanting accurate and reliable insights as a positive objective. The topic is also of greater importance as nations seek to gain on their population's mathematical literacy in order to compete in this current century. The stories cover the nascent development of the field going back many hundreds of years from Asia, to the Middle East. Shows the later development in Europe of the most major theoretical constructs. And then continues all the way to these current applied topics: fickleness of modern U.S. elections, hot hand streaks in the markets, Flight MH370's disappearance. There are also tools to think about diverse things such as civil unrest in emerging countries, and Federal Reserve Chair Yellen's current rate strategy.Statistics Topics' chapter topics are: probability theory, parameters, moments and correlations, stochastics, samples and errors, advanced confidence intervals, visual solutions, regressions, distribution fits, other topics and summary, and reference formulas with solutions.Note that the Kindle version of this book has limitations in its ability to show mathematical symbols, which partially challenges that product. However I have gone through the Kindle version as well and mapped alternate letters as substitutes for symbols, and I also enhanced some of the graphics and tools (e.g., formula look-ups) to make both versions as pleasurable, as possible. While the full-capability paperback book has been ranked Top 1 to Top 4 in important science, and business research/reference categories and enjoyed in classrooms (graduate biostatistics, mathematical and business statistics, and analytics), depending on your needs, the ebook version (similar ranked in similar mathematics and statistics categories) offers readers a strong alternative and additional accessibility - at a low price. Also read by celebrity business CEOs, government leaders, and at least one Nobel laureateMost of this book's income is being donated to philanthropic efforts. If the book price (print and ebook combined is nearly at cost) is unaffordable and you live in the U.S., then please e-mail me your city zipcode; if there are multiple needs from specific locations, then I will work with the local library there for you to get a copy onto their shelves.

Theoretical Statistics

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Author : Robert W. Keener
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-08

Theoretical Statistics written by Robert W. Keener and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-08 with Mathematics categories.

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.

Topics In Circular Statistics

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Author : S. Rao Jammalamadaka
language : en
Publisher: World Scientific
Release Date : 2001

Topics In Circular Statistics written by S. Rao Jammalamadaka and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Mathematics categories.

This research monograph on circular data analysis covers some recent advances in the field, besides providing a brief introduction to, and a review of, existing methods and models. The primary focus is on recent research into topics such as change-point problems, predictive distributions, circular correlation and regression, etc. An important feature of this work is the S-plus subroutines provided for analyzing actual data sets. Coupled with the discussion of new theoretical research, the book should benefit both the researcher and the practitioner. Contents: Circular Probability Distributions; Some Sampling Distributions; Estimation of Parameters; Tests for Mean Direction and Concentration; Tests for Uniformity; Nonparametric Testing Procedures; Circular Correlation and Regression; Predictive Inference for Directional Data; Outliers and Related Problems; Change-Point Problems; Miscellaneous Topics; Some Facts on Bessel Functions; How to Use the CircStats Package. Readership: Researchers and practitioners dealing with circular data.

Topics In Theoretical And Applied Statistics

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Author : Giorgio Alleva
language : en
Publisher: Springer
Release Date : 2016-05-19

Topics In Theoretical And Applied Statistics written by Giorgio Alleva and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-19 with Mathematics categories.

This book highlights the latest research findings from the 46th International Meeting of the Italian Statistical Society (SIS) in Rome, during which both methodological and applied statistical research was discussed. This selection of fully peer-reviewed papers, originally presented at the meeting, addresses a broad range of topics, including the theory of statistical inference; data mining and multivariate statistical analysis; survey methodologies; analysis of social, demographic and health data; and economic statistics and econometrics.

Mathematical Statistics

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Author : Peter .J. Bickel
language : en
Publisher: CRC Press
Release Date : 2015-12-08

Mathematical Statistics written by Peter .J. Bickel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-08 with Business & Economics categories.

This package includes both Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition, as well as Mathematical Statistics: Basic Ideas and Selected Topics, Volume II. Volume I presents fundamental, classical statistical concepts at the doctorate level without using measure theory. It gives careful proofs of major results and explains how the theory sheds light on the properties of practical methods. Volume II covers a number of topics that are important in current measure theory and practice. It emphasizes nonparametric methods which can really only be implemented with modern computing power on large and complex data sets. In addition, the set includes a large number of problems with more difficult ones appearing with hints and partial solutions for the instructor.

Mathematical Statistics

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Author : Peter J. Bickel
language : en
Publisher: CRC Press
Release Date : 2015-11-04

Mathematical Statistics written by Peter J. Bickel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-04 with Business & Economics categories.

Mathematical Statistics: Basic Ideas and Selected Topics, Volume II presents important statistical concepts, methods, and tools not covered in the authors' previous volume. This second volume focuses on inference in non- and semiparametric models. It not only reexamines the procedures introduced in the first volume from a more sophisticated point o

Topics In Statistical Methodology

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Author : Suddhendu Biswas
language : en
Publisher: New Age International
Release Date : 1991

Topics In Statistical Methodology written by Suddhendu Biswas and has been published by New Age International this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Mathematics categories.

The Text Book Covers All Traditional As Well As Newly Emerging Topics In Statistical Methodology. A Broad General Description Of The Book Consists Of(I) A Lucid Presentation To The Motivation Of The Modern Axiomatic Approach To Probability.(Ii) Study Of All Major Distributions (Inclusive Of Circular, Log-Normal Singular) With New Interpretations Ofsome Distributions (Ex. Pareto, Logistic Etc.)(Iii) Model Oriented Approach To The Generations Of Normal, Log-Normal, Cauchy, Exponential, Gamma And Other Waiting Distributions And Their Characterizations.(Iv) Techniques Of Truncated And Censored Distributions Vis-À-Vis Parametric, Non-Parametric, Bayesian And Sequential Inference Procedures, The Backgrounds Of Which Have Been Provided.(V) Inclusion Of Classical Topics As Pearsonian Curves, Gram-Charlier Series And Orthogonal Polynomials.Some Of The Distinguishing Features Are As Follows: * Introducing The Concept Of Correlation As A Milestone In The Development Of Regression Theory. * A Large Number Of Solved Examples And A Wide Collection Of Unsolved Problems With Occasional Hints. * A Geometrical Treatment Of Non-Central X2.

Mathematical Statistics

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Author : Peter J. Bickel
language : en
Publisher:
Release Date : 2001

Mathematical Statistics written by Peter J. Bickel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Mathematics categories.

We now have an updated printing! Find more information at: http://vig.prenhall.com/catalog/academic/product/0,1144,0132306379,00.html. In response to feedback from faculty and students, some sections within the book have been rewritten. Also, a number of corrections have been made, further improving the accuracy of this outstanding textbook. This classic, time-honored introduction to the theory and practice of statistics modeling and inference reflects the changing focus of contemporary Statistics. Coverage begins with the more general nonparametric point of view and then looks at parametric models as submodels of the nonparametric ones which can be described smoothly by Euclidean parameters. Although some computational issues are discussed, this is very much a book on theory. It relates theory to conceptual and technical issues encountered in practice, viewing theory as suggestive for practice, not prescriptive. It shows readers how assumptions which lead to neat theory may be unrealistic in practice. Statistical Models, Goals, and Performance Criteria. Methods of Estimation. Measures of Performance, Notions of Optimality, and Construction of Optimal Procedures in Simple Situations. Testing Statistical Hypotheses: Basic Theory. Asymptotic Approximations. Multiparameter Estimation, Testing and Confidence Regions. A Review of Basic Probability Theory. More Advanced Topics in Analysis and Probability. Matrix Algebra. For anyone interested in mathematical statistics working in statistics, bio-statistics, economics, computer science, and mathematics.

Probability For Statistics And Machine Learning

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Author : Anirban DasGupta
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-17

Probability For Statistics And Machine Learning written by Anirban DasGupta and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-17 with Mathematics categories.

This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and numerous worked out examples and exercises. The book has 20 chapters on a wide range of topics, 423 worked out examples, and 808 exercises. It is unique in its unification of probability and statistics, its coverage and its superb exercise sets, detailed bibliography, and in its substantive treatment of many topics of current importance. This book can be used as a text for a year long graduate course in statistics, computer science, or mathematics, for self-study, and as an invaluable research reference on probabiliity and its applications. Particularly worth mentioning are the treatments of distribution theory, asymptotics, simulation and Markov Chain Monte Carlo, Markov chains and martingales, Gaussian processes, VC theory, probability metrics, large deviations, bootstrap, the EM algorithm, confidence intervals, maximum likelihood and Bayes estimates, exponential families, kernels, and Hilbert spaces, and a self contained complete review of univariate probability.

Topics And Trends In Current Statistics Education Research

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Author : Gail Burrill
language : en
Publisher: Springer
Release Date : 2019-01-12

Topics And Trends In Current Statistics Education Research written by Gail Burrill and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-12 with Education categories.

This book focuses on international research in statistics education, providing a solid understanding of the challenges in learning statistics. It presents the teaching and learning of statistics in various contexts, including designed settings for young children, students in formal schooling, tertiary level students, and teacher professional development. The book describes research on what to teach and platforms for delivering content (curriculum), strategies on how to teach for deep understanding, and includes several chapters on developing conceptual understanding (pedagogy and technology), teacher knowledge and beliefs, and the challenges teachers and students face when they solve statistical problems (reasoning and thinking). This new research in the field offers critical insights for college instructors, classroom teachers, curriculum designers, researchers in mathematics and statistics education as well as policy makers and newcomers to the field of statistics education. Statistics has become one of the key areas of study in the modern world of information and big data. The dramatic increase in demand for learning statistics in all disciplines is accompanied by tremendous growth in research in statistics education. Increasingly, countries are teaching more quantitative reasoning and statistics at lower and lower grade levels within mathematics, science and across many content areas. Research has revealed the many challenges in helping learners develop statistical literacy, reasoning, and thinking, and new curricula and technology tools show promise in facilitating the achievement of these desired outcomes.