Computer Intensive Methods In Statistics

Author : Silvelyn Zwanzig,Behrang Mahjani
Publisher : CRC Press
Page : 227 pages
File Size : 41,5 Mb
Release : 2019-11-27
Category : Business & Economics
ISBN : 9780429510946

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Computer Intensive Methods in Statistics by Silvelyn Zwanzig,Behrang Mahjani Pdf

This textbook gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including random number generators, Monte Carlo methods, Markov Chain Monte Carlo (MCMC) methods, Bootstrap, EM algorithms, SIMEX, variable selection, density estimators, kernel estimators, orthogonal and local polynomial estimators, wavelet estimators, splines, and model assessment. Computer Intensive Methods in Statistics is written for students at graduate level, but can also be used by practitioners. Features Presents the main ideas of computer-intensive statistical methods Gives the algorithms for all the methods Uses various plots and illustrations for explaining the main ideas Features the theoretical backgrounds of the main methods. Includes R codes for the methods and examples Silvelyn Zwanzig is an Associate Professor for Mathematical Statistics at Uppsala University. She studied Mathematics at the Humboldt- University in Berlin. Before coming to Sweden, she was Assistant Professor at the University of Hamburg in Germany. She received her Ph.D. in Mathematics at the Academy of Sciences of the GDR. Since 1991, she has taught Statistics for undergraduate and graduate students. Her research interests have moved from theoretical statistics to computer intensive statistics. Behrang Mahjani is a postdoctoral fellow with a Ph.D. in Scientific Computing with a focus on Computational Statistics, from Uppsala University, Sweden. He joined the Seaver Autism Center for Research and Treatment at the Icahn School of Medicine at Mount Sinai, New York, in September 2017 and was formerly a postdoctoral fellow at the Karolinska Institutet, Stockholm, Sweden. His research is focused on solving large-scale problems through statistical and computational methods.

Author : J. S. Urban. Hjorth
Publisher : Routledge
Page : 173 pages
File Size : 46,8 Mb
Release : 2017-10-19
Category : Mathematics
ISBN : 9781351458740

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Computer Intensive Statistical Methods by J. S. Urban. Hjorth Pdf

This book focuses on computer intensive statistical methods, such as validation, model selection, and bootstrap, that help overcome obstacles that could not be previously solved by methods such as regression and time series modelling in the areas of economics, meteorology, and transportation.

Author : Eric W. Noreen
Publisher : Wiley-Interscience
Page : 246 pages
File Size : 41,7 Mb
Release : 1989-05-02
Category : Mathematics
ISBN : MINN:31951P001153449

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Computer-Intensive Methods for Testing Hypotheses by Eric W. Noreen Pdf

How to use computer-intensive methods to assess the significance of a statistic in an hypothesis test--for both statisticians and nonstatisticians alike. The significance of almost any test can be assessed using one of the methods presented here, for the techniques given are very general (e.g. virtually every nonparametric statistical test is a special case of one of the methods covered). Programs presented are brief, easy to read, require minimal programming, and can be run on most PC's. They also serve as templates adaptable to a wide range of applications. Includes numerous illustrations of how to apply computer-intensive methods.

Author : Wolfgang Härdle
Publisher : Physica-Verlag
Page : 176 pages
File Size : 46,6 Mb
Release : 1993-01-01
Category : Mathematics
ISBN : 0387914439

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Computer Intensive Methods in Statistics by Wolfgang Härdle Pdf

Author : Wolfgang Härdle,Léopold Simar
Publisher : Springer Science & Business Media
Page : 184 pages
File Size : 55,9 Mb
Release : 2013-11-27
Category : Mathematics
ISBN : 9783642524684

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Computer Intensive Methods in Statistics by Wolfgang Härdle,Léopold Simar Pdf

The computer has created new fields in statistic. Numerical and statistical problems that were untackable five to ten years ago can now be computed even on portable personal computers. A computer intensive task is for example the numerical calculation of posterior distributions in Bayesian analysis. The Bootstrap and image analysis are two other fields spawned by the almost unlimited computing power. It is not only the computing power through that has revolutionized statistics, the graphical interactiveness on modern statistical environments has given us the possibility for deeper insight into our data. On November 21,22 1991 a conference on computer Intensive Methods in Statistics has been organized at the Universite Catholique de Louvain, Louvain-La-Neuve, Belgium. The organizers were Jan Beirlant (Katholieke Universiteit Leuven), Wolfgang Hardie (Humboldt-Universitat zu Berlin) and Leopold Simar (Universite Catholique de Louvain and Facultes Universitaires Saint-Louis). The meeting was the Xllth in the series of the Rencontre Franco-Beige des Statisticians. Following this tradition both theoretical statistical results and practical contributions of this active field of statistical research were presented. The four topics that have been treated in more detail were: Bayesian Computing; Interfacing Statistics and Computers; Image Analysis; Resampling Methods. Selected and refereed papers have been edited and collected for this book. 1) Bayesian Computing.

Author : Jenny A. Baglivo
Publisher : SIAM
Page : 273 pages
File Size : 41,8 Mb
Release : 2005-01-01
Category : Mathematics
ISBN : 9780898718416

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Mathematica Laboratories for Mathematical Statistics by Jenny A. Baglivo Pdf

Integrating computers into mathematical statistics courses allows students to simulate experiments and visualize their results, handle larger data sets, analyze data more quickly, and compare the results of classical methods of data analysis with those using alternative techniques. This text presents a concise introduction to the concepts of probability theory and mathematical statistics. The accompanying in-class and take-home computer laboratory activities reinforce the techniques introduced in the text and are accessible to students with little or no experience with Mathematica. These laboratory materials present applications in a variety of real-world settings, with data from epidemiology, environmental sciences, medicine, social sciences, physical sciences, manufacturing, engineering, marketing, and sports. Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods includes parametric, nonparametric, permutation, bootstrap and diagnostic methods. Chapters on permutation and bootstrap techniques follow the formal inference chapters and precede the chapters on intermediate-level topics. Permutation and bootstrap methods are discussed side by side with classical methods in the later chapters.

Author : D.R. Helsel,R.M. Hirsch
Publisher : Elsevier
Page : 546 pages
File Size : 40,5 Mb
Release : 1993-03-03
Category : Mathematics
ISBN : 0080875084

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Statistical Methods in Water Resources by D.R. Helsel,R.M. Hirsch Pdf

Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources. The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies. The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.

Author : Bryan F.J. Manly,Jorge A. Navarro Alberto
Publisher : CRC Press
Page : 338 pages
File Size : 47,7 Mb
Release : 2020-07-22
Category : Mathematics
ISBN : 9781000080506

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Randomization, Bootstrap and Monte Carlo Methods in Biology by Bryan F.J. Manly,Jorge A. Navarro Alberto Pdf

Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. Like its bestselling predecessors, the fourth edition of Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates a large number of statistical methods with an emphasis on biological applications. The focus is now on the use of randomization, bootstrapping, and Monte Carlo methods in constructing confidence intervals and doing tests of significance. The text provides comprehensive coverage of computer-intensive applications, with data sets available online. Features Presents an overview of computer-intensive statistical methods and applications in biology Covers a wide range of methods including bootstrap, Monte Carlo, ANOVA, regression, and Bayesian methods Makes it easy for biologists, researchers, and students to understand the methods used Provides information about computer programs and packages to implement calculations, particularly using R code Includes a large number of real examples from a range of biological disciplines Written in an accessible style, with minimal coverage of theoretical details, this book provides an excellent introduction to computer-intensive statistical methods for biological researchers. It can be used as a course text for graduate students, as well as a reference for researchers from a range of disciplines. The detailed, worked examples of real applications will enable practitioners to apply the methods to their own biological data.

Author : James E. Gentle
Publisher : Springer Science & Business Media
Page : 427 pages
File Size : 42,8 Mb
Release : 2006-04-18
Category : Computers
ISBN : 9780387216119

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Elements of Computational Statistics by James E. Gentle Pdf

Will provide a more elementary introduction to these topics than other books available; Gentle is the author of two other Springer books

Author : Pietro Mantovan,Piercesare Secchi
Publisher : Springer Science & Business Media
Page : 170 pages
File Size : 43,7 Mb
Release : 2011-01-27
Category : Computers
ISBN : 9788847013865

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Complex Data Modeling and Computationally Intensive Statistical Methods by Pietro Mantovan,Piercesare Secchi Pdf

Selected from the conference "S.Co.2009: Complex Data Modeling and Computationally Intensive Methods for Estimation and Prediction," these 20 papers cover the latest in statistical methods and computational techniques for complex and high dimensional datasets.

Author : Derek A. Roff
Publisher : Cambridge University Press
Page : 233 pages
File Size : 48,7 Mb
Release : 2006-05-25
Category : Medical
ISBN : 9780521608657

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Introduction to Computer-Intensive Methods of Data Analysis in Biology by Derek A. Roff Pdf

Publisher Description

Author : J. S. Urban. Hjorth
Publisher : CRC Press
Page : 272 pages
File Size : 40,8 Mb
Release : 2017-10-19
Category : Mathematics
ISBN : 9781351458757

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Computer Intensive Statistical Methods by J. S. Urban. Hjorth Pdf

This book focuses on computer intensive statistical methods, such as validation, model selection, and bootstrap, that help overcome obstacles that could not be previously solved by methods such as regression and time series modelling in the areas of economics, meteorology, and transportation.

Author : James E. Gentle
Publisher : Springer Science & Business Media
Page : 732 pages
File Size : 51,8 Mb
Release : 2009-07-28
Category : Mathematics
ISBN : 9780387981444

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Computational Statistics by James E. Gentle Pdf

Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods.

Author : Bryan F.J. Manly
Publisher : CRC Press
Page : 468 pages
File Size : 43,6 Mb
Release : 2018-10-03
Category : Mathematics
ISBN : 9781482296419

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Randomization, Bootstrap and Monte Carlo Methods in Biology by Bryan F.J. Manly Pdf

Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates the value of a number of these methods with an emphasis on biological applications. This textbook focuses on three related areas in computational statistics: randomization, bootstrapping, and Monte Carlo methods of inference. The author emphasizes the sampling approach within randomization testing and confidence intervals. Similar to randomization, the book shows how bootstrapping, or resampling, can be used for confidence intervals and tests of significance. It also explores how to use Monte Carlo methods to test hypotheses and construct confidence intervals. New to the Third Edition Updated information on regression and time series analysis, multivariate methods, survival and growth data as well as software for computational statistics References that reflect recent developments in methodology and computing techniques Additional references on new applications of computer-intensive methods in biology Providing comprehensive coverage of computer-intensive applications while also offering data sets online, Randomization, Bootstrap and Monte Carlo Methods in Biology, Third Edition supplies a solid foundation for the ever-expanding field of statistics and quantitative analysis in biology.

Author : Bradley Efron,Trevor Hastie
Publisher : Cambridge University Press
Page : 513 pages
File Size : 55,5 Mb
Release : 2021-06-17
Category : Computers
ISBN : 9781108823418

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Computer Age Statistical Inference, Student Edition by Bradley Efron,Trevor Hastie Pdf

Now in paperback and fortified with exercises, this brilliant, enjoyable text demystifies data science, statistics and machine learning.