• Home
  • Theory and Methods of Statistics

Theory and Methods of Statistics

Theory and Methods of Statistics
  • Author : P.K. Bhattacharya
  • Publsiher : Academic Press
  • Release : 23 June 2016
  • ISBN : 0128041234
  • Pages : 544 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKTheory and Methods of Statistics

Summary:
Theory and Methods of Statistics covers essential topics for advanced graduate students and professional research statisticians. This comprehensive resource covers many important areas in one manageable volume, including core subjects such as probability theory, mathematical statistics, and linear models, and various special topics, including nonparametrics, curve estimation, multivariate analysis, time series, and resampling. The book presents subjects such as "maximum likelihood and sufficiency," and is written with an intuitive, heuristic approach to build reader comprehension. It also includes many probability inequalities that are not only useful in the context of this text, but also as a resource for investigating convergence of statistical procedures. Codifies foundational information in many core areas of statistics into a comprehensive and definitive resource Serves as an excellent text for select master’s and PhD programs, as well as a professional reference Integrates numerous examples to illustrate advanced concepts Includes many probability inequalities useful for investigating convergence of statistical procedures


Theory and Methods of Statistics

Theory and Methods of Statistics
  • Author : P.K. Bhattacharya,Prabir Burman
  • Publisher : Academic Press
  • Release : 23 June 2016
GET THIS BOOKTheory and Methods of Statistics

Theory and Methods of Statistics covers essential topics for advanced graduate students and professional research statisticians. This comprehensive resource covers many important areas in one manageable volume, including core subjects such as probability theory, mathematical statistics, and linear models, and various special topics, including nonparametrics, curve estimation, multivariate analysis, time series, and resampling. The book presents subjects such as "maximum likelihood and sufficiency," and is written with an intuitive, heuristic approach to build reader comprehension. It also includes many probability

Book Theory and Methods of Statistics PDF Download/ Read Online


Robust Statistics

Robust Statistics
  • Author : Ricardo A. Maronna,R. Douglas Martin,Victor J. Yohai,Matías Salibián-Barrera
  • Publisher : Wiley
  • Release : 03 December 2018
GET THIS BOOKRobust Statistics

A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source software R. Classical statistics fail to cope well with outliers associated with deviations from standard distributions. Robust statistical methods take into account these deviations when estimating the parameters of parametric models, thus increasing the reliability of fitted models and associated inference. This new, second edition of Robust Statistics: Theory and Methods (

Book Robust Statistics PDF Download/ Read Online


Statistical Methods for Organizational Research

Statistical Methods for Organizational Research
  • Author : Chris Dewberry
  • Publisher : Routledge
  • Release : 26 August 2004
GET THIS BOOKStatistical Methods for Organizational Research

This clearly written textbook clarifies the concepts underpinning descriptive and inferential statistics in organizational research. Acting as much more than a theoretical reference tool, step-by-step it guides readers through the various key stages of successful data analysis. Covering everything from introductory descriptive statistics to advanced inferential techniques such as ANOVA, multiple and logistic regression and factor analysis, this is one of the most comprehensive textbooks available. Using examples directly relevant to organizational research it includes practical advice on such topics

Book Statistical Methods for Organizational Research PDF Download/ Read Online


Essential Statistical Inference

Essential Statistical Inference
  • Author : Dennis D. Boos,L A Stefanski
  • Publisher : Springer Science & Business Media
  • Release : 06 February 2013
GET THIS BOOKEssential Statistical Inference

​This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems. An important goal has been to make the topics accessible to a wide audience, with little overt reliance on measure

Book Essential Statistical Inference PDF Download/ Read Online


On the Theory and Methods of Statistical Inference

On the Theory and Methods of Statistical Inference
  • Author : Gerald L. Smith,United States. National Aeronautics and Space Administration
  • Publisher : Anonim
  • Release : 19 August 1967
GET THIS BOOKOn the Theory and Methods of Statistical Inference

Statistical inference is the process of intelligently using information from observations and experiments to draw conclusions and make decisions. The class of inference problems includes all the classical statistical problems of point and parameter estimation, regression analysis, and hypothesis testing, as well as the engineering problems of control and filtering. In order that inference problems may be stated in mathematical terms, it is necessary to utilize mathematical of the often intangible entities called knowledge and goodness (or optimality). Probability is

Book On the Theory and Methods of Statistical Inference PDF Download/ Read Online


Time Series: Theory and Methods

Time Series: Theory and Methods
  • Author : Peter J. Brockwell,Richard A. Davis
  • Publisher : Springer Science & Business Media
  • Release : 13 May 2009
GET THIS BOOKTime Series: Theory and Methods

This edition contains a large number of additions and corrections scattered throughout the text, including the incorporation of a new chapter on state-space models. The companion diskette for the IBM PC has expanded into the software package ITSM: An Interactive Time Series Modelling Package for the PC, which includes a manual and can be ordered from Springer-Verlag. * We are indebted to many readers who have used the book and programs and made suggestions for improvements. Unfortunately there is not enough

Book Time Series: Theory and Methods PDF Download/ Read Online


Statistical Models

Statistical Models
  • Author : David A. Freedman
  • Publisher : Cambridge University Press
  • Release : 27 April 2009
GET THIS BOOKStatistical Models

This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a

Book Statistical Models PDF Download/ Read Online


Statistics for High-Dimensional Data

Statistics for High-Dimensional Data
  • Author : Peter Bühlmann,Sara van de Geer
  • Publisher : Springer Science & Business Media
  • Release : 08 June 2011
GET THIS BOOKStatistics for High-Dimensional Data

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections. A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights

Book Statistics for High-Dimensional Data PDF Download/ Read Online


Statistical Hypothesis Testing

Statistical Hypothesis Testing
  • Author : Ning-Zhong Shi,Jian Tao
  • Publisher : World Scientific
  • Release : 19 August 2022
GET THIS BOOKStatistical Hypothesis Testing

This book presents up-to-date theory and methods of statistical hypothesis testing based on measure theory. The so-called statistical space is a measurable space adding a family of probability measures. Most topics in the book will be developed based on this term. The book includes some typical data sets, such as the relation between race and the death penalty verdict, the behavior of food intake of two kinds of Zucker rats, and the per capita income and expenditure in China during

Book Statistical Hypothesis Testing PDF Download/ Read Online


Robust Statistics

Robust Statistics
  • Author : Ricardo A. Maronna,Douglas R. Martin,Victor J. Yohai
  • Publisher : Wiley
  • Release : 12 May 2006
GET THIS BOOKRobust Statistics

Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and different applications considered. Robust Statistics sets out to explain the use of robust methods and their theoretical justification. It provides an up-to-date overview of the theory and practical application of the robust statistical

Book Robust Statistics PDF Download/ Read Online


Statistics in Theory and Practice

Statistics in Theory and Practice
  • Author : Robert Lupton
  • Publisher : Princeton University Press
  • Release : 01 August 1993
GET THIS BOOKStatistics in Theory and Practice

Aimed at readers without a specialist scientific background, this monograph describes the theory underlying classical statistical methods. Readers with some familiarity of the standard tests will learn more about their strengths, weaknesses and domains of applicability.

Book Statistics in Theory and Practice PDF Download/ Read Online


Asymptotic Methods in Statistical Decision Theory

Asymptotic Methods in Statistical Decision Theory
  • Author : Lucien Le Cam
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKAsymptotic Methods in Statistical Decision Theory

This book grew out of lectures delivered at the University of California, Berkeley, over many years. The subject is a part of asymptotics in statistics, organized around a few central ideas. The presentation proceeds from the general to the particular since this seemed the best way to emphasize the basic concepts. The reader is expected to have been exposed to statistical thinking and methodology, as expounded for instance in the book by H. Cramer [1946] or the more recent text by

Book Asymptotic Methods in Statistical Decision Theory PDF Download/ Read Online


The Methods of Distances in the Theory of Probability and Statistics

The Methods of Distances in the Theory of Probability and Statistics
  • Author : Svetlozar T. Rachev,Lev Klebanov,Stoyan V. Stoyanov,Frank Fabozzi
  • Publisher : Springer Science & Business Media
  • Release : 04 January 2013
GET THIS BOOKThe Methods of Distances in the Theory of Probability and Statistics

This book covers the method of metric distances and its application in probability theory and other fields. The method is fundamental in the study of limit theorems and generally in assessing the quality of approximations to a given probabilistic model. The method of metric distances is developed to study stability problems and reduces to the selection of an ideal or the most appropriate metric for the problem under consideration and a comparison of probability metrics. After describing the basic structure

Book The Methods of Distances in the Theory of Probability and Statistics PDF Download/ Read Online


Survey Sampling

Survey Sampling
  • Author : Arijit Chaudhuri
  • Publisher : CRC Press
  • Release : 28 September 2018
GET THIS BOOKSurvey Sampling

This venture aspires to be a mix of a textbook at the undergraduate and postgraduate levels and a monograph to catch the attention of researchers in theoretical and practical aspects of survey sampling at diverse levels demanding a comprehensive review of what useful materials have preceded, with an eye to what beacons to the depth of the imminent future.

Book Survey Sampling PDF Download/ Read Online


Theory-Based Data Analysis for the Social Sciences

Theory-Based Data Analysis for the Social Sciences
  • Author : Carol S. Aneshensel
  • Publisher : SAGE
  • Release : 19 August 2022
GET THIS BOOKTheory-Based Data Analysis for the Social Sciences

This book presents a method for bringing data analysis and statistical technique into line with theory. The author begins by describing the elaboration model for analyzing the empirical association between variables. She then introduces a new concept into this model, the focal relationship. Building upon the focal relationship as the cornerstone for all subsequent analysis, two analytic strategies are developed to establish its internal validity: an exclusionary strategy to eliminate alternative explanations, and an inclusive strategy which looks at the

Book Theory-Based Data Analysis for the Social Sciences PDF Download/ Read Online