Development Of Modern Statistics And Related Topics

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Development of Modern Statistics and Related Topics

Yaoting Zhang
Development of Modern Statistics and Related Topics Book PDF

Author : Yaoting Zhang
Publisher : World Scientific
Page : 304 pages
File Size : 53,5 Mb
Release : 2003
Category : Mathematics
ISBN : 9812796703

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Development of Modern Statistics and Related Topics by Yaoting Zhang Pdf

An interview with Professor Yaoting Zhang / Qiwei Yao and Zhaohai Li -- Significance level in interval mapping / David O. Siegmund and Benny Yakir -- An asymptotic Pythagorean identity / Zhiliang Ying -- A Monte Carlo gap test in computing HPD regions / Ming-Hui Chen [und weitere] -- Estimating restricted normal means using the EM-type algorithms and IBF sampling / Ming Tan, Guo-Liang Tian and Hong-Bin Fang -- An example of algorithm mining: covariance adjustment to accelerate EM and Gibbs / Chuanhai Liu -- Large deviations and deviation inequality for kernel density estimator in L[symbol]-distance / Liangzhen Lei, Liming Wu and Bin Xie -- Local sensitivity analysis of model misspecification / Guobing Lu -- Empirical likelihood confidence intervals for the difference of two quantiles of a population / Yongsong Qin and Yuehua Wu -- Exponential inequalities for spatial processes and uniform convergence rates for density estimation / Qiwei Yao -- A skew regression model for inference of stock volatility / Tuhao J. Chen and Hanfeng Chen -- Explicit transitional dynamics in growth models / Danyang Xie -- A fiscal federalism approach to optimal taxation and intergovernmental transfers in a dynamic model / Liutang Gong and Heng-Fu Zou -- Sharing catastrophe risk under model uncertainty / Xiaodong Zhu -- Ranked set sampling: a methodology for observational economy / Zehua Chen -- Some recent advances on response-adaptive randomized designs / Feifang Hu -- A childhood epidemic model with birthrate-dependent transmission / Yingcun Xia -- Linear regression analysis with observations subject to interval censoring / Linxiong Li -- When can the Haseman-Elston procedure for quantitative trait loci be improved? Insights from optimal design theory / Zhaohai Li, Minyu Xie and Joseph L. Gastwirth -- A semiparametric method for mapping quantitative trait loci / Jian Huang and Kai Wang -- Structure mixture regression models / Hongtu Zhu and Heping Zhang

Classic Topics on the History of Modern Mathematical Statistics

Prakash Gorroochurn
Classic Topics on the History of Modern Mathematical Statistics Book PDF

Author : Prakash Gorroochurn
Publisher : John Wiley & Sons
Page : 776 pages
File Size : 54,7 Mb
Release : 2016-03-21
Category : Mathematics
ISBN : 9781119127949

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Classic Topics on the History of Modern Mathematical Statistics by Prakash Gorroochurn Pdf

"There is nothing like it on the market...no others are as encyclopedic...the writing is exemplary: simple, direct, and competent." —George W. Cobb, Professor Emeritus of Mathematics and Statistics, Mount Holyoke College Written in a direct and clear manner, Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times presents a comprehensive guide to the history of mathematical statistics and details the major results and crucial developments over a 200-year period. Presented in chronological order, the book features an account of the classical and modern works that are essential to understanding the applications of mathematical statistics. Divided into three parts, the book begins with extensive coverage of the probabilistic works of Laplace, who laid much of the foundations of later developments in statistical theory. Subsequently, the second part introduces 20th century statistical developments including work from Karl Pearson, Student, Fisher, and Neyman. Lastly, the author addresses post-Fisherian developments. Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times also features: A detailed account of Galton's discovery of regression and correlation as well as the subsequent development of Karl Pearson's X2 and Student's t A comprehensive treatment of the permeating influence of Fisher in all aspects of modern statistics beginning with his work in 1912 Significant coverage of Neyman–Pearson theory, which includes a discussion of the differences to Fisher’s works Discussions on key historical developments as well as the various disagreements, contrasting information, and alternative theories in the history of modern mathematical statistics in an effort to provide a thorough historical treatment Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times is an excellent reference for academicians with a mathematical background who are teaching or studying the history or philosophical controversies of mathematics and statistics. The book is also a useful guide for readers with a general interest in statistical inference.

Classic Topics on the History of Modern Mathematical Statistics

Prakash Gorroochurn
Classic Topics on the History of Modern Mathematical Statistics Book PDF

Author : Prakash Gorroochurn
Publisher : John Wiley & Sons
Page : 776 pages
File Size : 40,9 Mb
Release : 2016-03-29
Category : Mathematics
ISBN : 9781119127932

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Classic Topics on the History of Modern Mathematical Statistics by Prakash Gorroochurn Pdf

"There is nothing like it on the market...no others are as encyclopedic...the writing is exemplary: simple, direct, and competent." —George W. Cobb, Professor Emeritus of Mathematics and Statistics, Mount Holyoke College Written in a direct and clear manner, Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times presents a comprehensive guide to the history of mathematical statistics and details the major results and crucial developments over a 200-year period. Presented in chronological order, the book features an account of the classical and modern works that are essential to understanding the applications of mathematical statistics. Divided into three parts, the book begins with extensive coverage of the probabilistic works of Laplace, who laid much of the foundations of later developments in statistical theory. Subsequently, the second part introduces 20th century statistical developments including work from Karl Pearson, Student, Fisher, and Neyman. Lastly, the author addresses post-Fisherian developments. Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times also features: A detailed account of Galton's discovery of regression and correlation as well as the subsequent development of Karl Pearson's X2 and Student's t A comprehensive treatment of the permeating influence of Fisher in all aspects of modern statistics beginning with his work in 1912 Significant coverage of Neyman–Pearson theory, which includes a discussion of the differences to Fisher’s works Discussions on key historical developments as well as the various disagreements, contrasting information, and alternative theories in the history of modern mathematical statistics in an effort to provide a thorough historical treatment Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times is an excellent reference for academicians with a mathematical background who are teaching or studying the history or philosophical controversies of mathematics and statistics. The book is also a useful guide for readers with a general interest in statistical inference.

Recent Advances in Biostatistics

Manish Bhattacharjee,Sunil K Dhar,Sundarraman Subramanian
Recent Advances in Biostatistics Book PDF

Author : Manish Bhattacharjee,Sunil K Dhar,Sundarraman Subramanian
Publisher : World Scientific
Page : 312 pages
File Size : 47,9 Mb
Release : 2011-03-18
Category : Medical
ISBN : 9789814462426

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Recent Advances in Biostatistics by Manish Bhattacharjee,Sunil K Dhar,Sundarraman Subramanian Pdf

This unique volume provides self-contained accounts of some recent trends in Biostatistics methodology and their applications. It includes state-of-the-art reviews and original contributions. The articles included in this volume are based on a careful selection of peer-reviewed papers, authored by eminent experts in the field, representing a well balanced mix of researchers from the academia, R&D sectors of government and the pharmaceutical industry. The book is also intended to give advanced graduate students and new researchers a scholarly overview of several research frontiers in biostatistics, which they can use to further advance the field through development of new techniques and results. Contents:False Discovery Rates:A New Adaptive Method to Control the False Discovery Rate (F Liu & S K Sarkar)Adaptive Multiple Testing Procedures Under Positive Dependence (W-G Guo et al.)A False Discovery Rate Procedure for Categorical Data (J F Heyse)Survival Analysis:Conditional Nelson-Aalen and Kaplan-Meier Estimators with the Müller–Wang Boundary Kernel (X-D Luo & W-Y Tsai)Regression Analysis in Failure Time Mixture Models with Change Points According to Thresholds of a Covariate (J-M Lee et al.)Modeling Survival Data Using the Piecewise Exponential Model with Random Time Grid (F N Demarqui et al.)Proportional Rate Models for Recurrent Time Event Data Under Dependent Censoring: A Comparative Study (L D A F Amorim et al.)Efficient Algorithms for Bayesian Binary Regression Model with Skew-Probit Link (R B A Farias & M D Branco)M-Estimation Methods in Heteroscedastic Nonlinear Regression Models (C Lim et al.)The Inverse Censoring Weighted Approach for Estimation of Survival Functions from Left and Right Censored Data (S Subramanian & P-X Zhang)Analysis and Design of Competing Risks Data in Clinical Research (H T Kimn)Related Topics: Genomics/Bioinformatics, Medical Imaging and Diagnosis, Clinical Trials:Comparative Genomic Analysis Using Information Theory (S N Fatakia et al.)Statistical Modeling for Data of Positron Emission Tomography in Depression (C Chang & R T Ogden)The Use of Latent Class Analysis in Medical Diagnosis (D Rindskopf)Subset Selection in Comparative Selection Trials (C-S Leu et al.) Readership: Advanced Graduate students; active researchers in universities, research labs in government and industry engaged in and concerned with modeling and data analysis in biostatistics; R&D managers and directors of biostatistics / public health research in government and industry. Keywords:False Discovery Rate;Adaptive Multiple Testing;Survival Analysis;Censoring;Nelson–Aalen Estimator;Kaplan–Meier Estimator;Recurrent Time-to-Event Data Under Dependent Censoring;Bayesian Binary Regression;M-Estimation;Heteroscedastic Nonlinear Regression;Failure Time Mixture Models with Change Points;Genomic Analysis Using Information Theory;Modeling Positron Emission Tomography;Competing Risks;Latent Class Analysis;Comparative Selection TrialsKey Features:Includes a treatment of current research on “False Discovery Methods”, a topic of high relevance and interest in gene-expression/microarray studiesIncludes new methods for regression analysis of recurrent and censored time-to-event data with dependent censoring, innovative estimation methods for unconditional and conditional survival distributions from censored data including double censoring, novel applications in medical imaging and diagnosis, information theory and comparative genomicsContributors are prominent experts in their fields

Nonparametric Statistical Methods and Related Topics

Francisco J. Samaniego,Jiming Jiang
Nonparametric Statistical Methods and Related Topics Book PDF

Author : Francisco J. Samaniego,Jiming Jiang
Publisher : World Scientific
Page : 479 pages
File Size : 55,6 Mb
Release : 2011
Category : Mathematics
ISBN : 9789814366571

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Nonparametric Statistical Methods and Related Topics by Francisco J. Samaniego,Jiming Jiang Pdf

Review papers. 1. On the scholarly work of P.K. Bhattacharya / P. Hall and F.J. Samaniego. 2. The propensity score and its role in causal inference / C. Drake and T. Loux. 3. Recent tests for symmetry with multivariate and structured data: a review / S.G. Meintanis and J. Ngatchou-Wandji -- Papers on general nonparametric inference. 4. On robust versions of classical tests with dependent data / J. Jiang. 5. Density estimation by sampling from stationary continuous time parameter associated processes / G.G. Roussas and D. Bhattacharya. 6. A Short proof of the Feigin-Tweedie theorem on the existence of the mean functional of a Dirichlet process / J. Sethuraman. 7. Max-min Bernstein polynomial estimation of a discontinuity in distribution / K.-S. Song. 8. U-statistics based on higher-order spacings / D.D. Tung and S.R. Jammalamadaka. 9. Nonparametric models for non-Gaussian longitudinal data / N. Zhang, H.-G. Muller and J.-L. Wang -- Papers on aspects of linear or generalized linear models. 10. Better residuals / R. Beran. 11. The use of Peters-Belson regression in legal cases / E. Bura, J.L. Gastwirth and H. Hikawa. 12. On a hybrid approach to parametric and nonparametric regression / P. Burman and P. Chaudhuri. 13. Nonparametric regression models with integrated covariates / Z. Cai. 14. A dynamic test for misspecification of a linear model / M.P. McAssey and F. Hsieh. 15. The principal component decomposition of the basic martingale / W. Stute -- Papers on time series analysis. 16. Fast scatterplot smoothing using blockwise least squares fitting / A. Aue and T.C.M. Lee. 17. Some recent advances in semiparametric estimation of the GARCH model / J. Di and A. Gangopadhyay. 18. Extreme dependence in multivariate time series: a review / R. Sen and Z. Tan. 19. Dynamic mixed models for irregularly observed water quality data / R.H. Shumway -- Papers on asymptotic theory. 20. Asymptotic behavior of the kernel density estimators for nonstationary dependent random variables with binned data / J.-F. Lenain, M. Harel and M.L. Puri. 21. Convergence rates of an improved isotonic regression estimator / H. Mukerjee. 22. Asymptotic distribution of the smallest eigenvalue of Wishart(N, n) When N, n ' [symbol] such that N/n --> 0 / D. Paul

Development of Modern Statistics and Related Topics

Heping Zhang,Jian Huang
Development of Modern Statistics and Related Topics Book PDF

Author : Heping Zhang,Jian Huang
Publisher : World Scientific
Page : 300 pages
File Size : 50,9 Mb
Release : 2003-06-20
Category : Mathematics
ISBN : 9789814485791

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Development of Modern Statistics and Related Topics by Heping Zhang,Jian Huang Pdf

This book encompasses a wide range of important topics. The articles cover the following areas: asymptotic theory and inference, biostatistics, economics and finance, statistical computing and Bayesian statistics, and statistical genetics. Specifically, the issues that are studied include large deviation, deviation inequalities, local sensitivity of model misspecification in likelihood inference, empirical likelihood confidence intervals, uniform convergence rates in density estimation, randomized designs in clinical trials, MCMC and EM algorithms, approximation of p-values in multipoint linkage analysis, use of mixture models in genetic studies, and design and analysis of quantitative traits. Contents:An Interview with Professor Yaoting Zhang (Q-W Yao & Z-H Li)A Monte Carlo Gap Test in Computing HPD Regions (M-H Chen et al.)An Example of Algorithm Mining: Covariance Adjustment to Accelerate EM and Gibbs (C-H Liu)Empirical Likelihood Confidence Intervals for the Difference of Two Quantiles of a Population (Y-S Qin & Y-H Wu)Sharing Catastrophe Risk Under Model Uncertainty (X-D Zhu)Some Recent Advances on Response-Adaptive Randomized Designs (F-F Hu)A Childhood Epidemic Model with Birthrate-Dependent Transmission (Y-C Xia)Structure Mixture Regression Models (H-T Zhu & H-P Zhang)and other papers Readership: Graduate students, academics and researchers in statistics; policy-makers in finance; health scientists and practitioners. Keywords:Linkage Analysis;Asymptotic Theory;Statistical Inference;Survival Analysis;Bayesian Analysis;Density Estimation;Stock Volatility;Dynamic Model;Clinical Trials

Classic Topics on the History of Modern Mathematical Statistics

Prakash Gorroochurn
Classic Topics on the History of Modern Mathematical Statistics Book PDF

Author : Prakash Gorroochurn
Publisher : John Wiley & Sons
Page : 776 pages
File Size : 44,8 Mb
Release : 2016-04-04
Category : Mathematics
ISBN : 9781119127925

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Classic Topics on the History of Modern Mathematical Statistics by Prakash Gorroochurn Pdf

"There is nothing like it on the market...no others are as encyclopedic...the writing is exemplary: simple, direct, and competent." —George W. Cobb, Professor Emeritus of Mathematics and Statistics, Mount Holyoke College Written in a direct and clear manner, Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times presents a comprehensive guide to the history of mathematical statistics and details the major results and crucial developments over a 200-year period. Presented in chronological order, the book features an account of the classical and modern works that are essential to understanding the applications of mathematical statistics. Divided into three parts, the book begins with extensive coverage of the probabilistic works of Laplace, who laid much of the foundations of later developments in statistical theory. Subsequently, the second part introduces 20th century statistical developments including work from Karl Pearson, Student, Fisher, and Neyman. Lastly, the author addresses post-Fisherian developments. Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times also features: A detailed account of Galton's discovery of regression and correlation as well as the subsequent development of Karl Pearson's X2 and Student's t A comprehensive treatment of the permeating influence of Fisher in all aspects of modern statistics beginning with his work in 1912 Significant coverage of Neyman–Pearson theory, which includes a discussion of the differences to Fisher’s works Discussions on key historical developments as well as the various disagreements, contrasting information, and alternative theories in the history of modern mathematical statistics in an effort to provide a thorough historical treatment Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times is an excellent reference for academicians with a mathematical background who are teaching or studying the history or philosophical controversies of mathematics and statistics. The book is also a useful guide for readers with a general interest in statistical inference.

The Statistics of Gene Mapping

David Siegmund,Benjamin Yakir
The Statistics of Gene Mapping Book PDF

Author : David Siegmund,Benjamin Yakir
Publisher : Springer Science & Business Media
Page : 334 pages
File Size : 43,7 Mb
Release : 2007-05-27
Category : Medical
ISBN : 9780387496863

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The Statistics of Gene Mapping by David Siegmund,Benjamin Yakir Pdf

This book details the statistical concepts used in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans. It presents elementary principles of probability and statistics, which are implemented by computational tools based on the R programming language to simulate genetic experiments and evaluate statistical analyses. Each chapter contains exercises, both theoretical and computational, some routine and others that are more challenging. The R programming language is developed in the text.

All of Statistics

Larry Wasserman
All of Statistics Book PDF

Author : Larry Wasserman
Publisher : Springer Science & Business Media
Page : 446 pages
File Size : 43,9 Mb
Release : 2013-12-11
Category : Mathematics
ISBN : 9780387217369

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All of Statistics by Larry Wasserman Pdf

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.

Statistics in the Social Sciences

Stanislav Kolenikov,Lori Thombs,Douglas Steinley
Statistics in the Social Sciences Book PDF

Author : Stanislav Kolenikov,Lori Thombs,Douglas Steinley
Publisher : John Wiley & Sons
Page : 222 pages
File Size : 50,5 Mb
Release : 2010-02-22
Category : Mathematics
ISBN : 9780470583326

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Statistics in the Social Sciences by Stanislav Kolenikov,Lori Thombs,Douglas Steinley Pdf

A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical methodologies to help advance research and data analysis across the many disciplines in the social sciences. Quantitative methods in various subfields, from psychology to economics, are under demand for constant development and refinement. This volume features invited overview papers, as well as original research presented at the Sixth Annual Winemiller Conference: Methodological Developments of Statistics in the Social Sciences, an international meeting that focused on fostering collaboration among mathematical statisticians and social science researchers. The book provides an accessible and insightful look at modern approaches to identifying and describing current, effective methodologies that ultimately add value to various fields of social science research. With contributions from leading international experts on the topic, the book features in-depth coverage of modern quantitative social sciences topics, including: Correlation Structures Structural Equation Models and Recent Extensions Order-Constrained Proximity Matrix Representations Multi-objective and Multi-dimensional Scaling Differences in Bayesian and Non-Bayesian Inference Bootstrap Test of Shape Invariance across Distributions Statistical Software for the Social Sciences Statistics in the Social Sciences: Current Methodological Developments is an excellent supplement for graduate courses on social science statistics in both statistics departments and quantitative social sciences programs. It is also a valuable reference for researchers and practitioners in the fields of psychology, sociology, economics, and market research.

Statistical Decision Theory and Related Topics V

Shanti S. Gupta,James O. Berger
Statistical Decision Theory and Related Topics V Book PDF

Author : Shanti S. Gupta,James O. Berger
Publisher : Springer Science & Business Media
Page : 535 pages
File Size : 51,6 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461226185

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Statistical Decision Theory and Related Topics V by Shanti S. Gupta,James O. Berger Pdf

The Fifth Purdue International Symposium on Statistical Decision The was held at Purdue University during the period of ory and Related Topics June 14-19,1992. The symposium brought together many prominent leaders and younger researchers in statistical decision theory and related areas. The format of the Fifth Symposium was different from the previous symposia in that in addition to the 54 invited papers, there were 81 papers presented in contributed paper sessions. Of the 54 invited papers presented at the sym posium, 42 are collected in this volume. The papers are grouped into a total of six parts: Part 1 - Retrospective on Wald's Decision Theory and Sequential Analysis; Part 2 - Asymptotics and Nonparametrics; Part 3 - Bayesian Analysis; Part 4 - Decision Theory and Selection Procedures; Part 5 - Probability and Probabilistic Structures; and Part 6 - Sequential, Adaptive, and Filtering Problems. While many of the papers in the volume give the latest theoretical developments in these areas, a large number are either applied or creative review papers.

Doing Bayesian Data Analysis

John Kruschke
Doing Bayesian Data Analysis Book PDF

Author : John Kruschke
Publisher : Academic Press
Page : 776 pages
File Size : 42,5 Mb
Release : 2014-11-11
Category : Mathematics
ISBN : 9780124059160

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Doing Bayesian Data Analysis by John Kruschke Pdf

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets. The book is divided into three parts and begins with the basics: models, probability, Bayes’ rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment. This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business. Accessible, including the basics of essential concepts of probability and random sampling Examples with R programming language and JAGS software Comprehensive coverage of all scenarios addressed by non-Bayesian textbooks: t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis) Coverage of experiment planning R and JAGS computer programming code on website Exercises have explicit purposes and guidelines for accomplishment Provides step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R and WinBugs

The Statistical Analysis of Interval-censored Failure Time Data

Jianguo Sun
The Statistical Analysis of Interval censored Failure Time Data Book PDF

Author : Jianguo Sun
Publisher : Springer
Page : 304 pages
File Size : 50,6 Mb
Release : 2007-05-26
Category : Mathematics
ISBN : 9780387371191

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The Statistical Analysis of Interval-censored Failure Time Data by Jianguo Sun Pdf

This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze interval-censored data to answer substantive questions.

Advances in Statistical Modeling and Inference

Vijay Nair
Advances in Statistical Modeling and Inference Book PDF

Author : Vijay Nair
Publisher : World Scientific
Page : 698 pages
File Size : 46,9 Mb
Release : 2007
Category : Mathematics
ISBN : 9789812708298

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Advances in Statistical Modeling and Inference by Vijay Nair Pdf

There have been major developments in the field of statistics over the last quarter century, spurred by the rapid advances in computing and data-measurement technologies. These developments have revolutionized the field and have greatly influenced research directions in theory and methodology. Increased computing power has spawned entirely new areas of research in computationally-intensive methods, allowing us to move away from narrowly applicable parametric techniques based on restrictive assumptions to much more flexible and realistic models and methods. These computational advances have also led to the extensive use of simulation and Monte Carlo techniques in statistical inference. All of these developments have, in turn, stimulated new research in theoretical statistics. This volume provides an up-to-date overview of recent advances in statistical modeling and inference. Written by renowned researchers from across the world, it discusses flexible models, semi-parametric methods and transformation models, nonparametric regression and mixture models, survival and reliability analysis, and re-sampling techniques. With its coverage of methodology and theory as well as applications, the book is an essential reference for researchers, graduate students, and practitioners.

OpenIntro Statistics

David Diez,Christopher Barr,Mine Çetinkaya-Rundel
OpenIntro Statistics Book PDF

Author : David Diez,Christopher Barr,Mine Çetinkaya-Rundel
Publisher : Unknown
Page : 128 pages
File Size : 42,8 Mb
Release : 2015-07-02
Category : Electronic
ISBN : 1943450048

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OpenIntro Statistics by David Diez,Christopher Barr,Mine Çetinkaya-Rundel Pdf

The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.