Non Parametric Statistical Diagnosis
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Non Parametric Statistical Diagnosis
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Author : E. Brodsky
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Non Parametric Statistical Diagnosis written by E. Brodsky 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 2013-03-14 with Mathematics categories.
This book has a distinct philosophy and it is appropriate to make it explicit at the outset. In our view almost all classic statistical inference is based upon the assumption (explicit or implicit) that there exists a fixed probabilistic mechanism of data generation. Unlike classic statistical inference, this book is devoted to the statistical analysis of data about complex objects with more than one probabilistic mechanism of data generation. We think that the exis tence of more than one data generation process (DGP) is the most important characteristic of com plex systems. When the hypothesis of statistical homogeneity holds true, Le., there exists only one mechanism of data generation, all statistical inference is based upon the fundamentallaws of large numbers. However, the situation is completely different when the probabilistic law of data generation can change (in time or in the phase space). In this case all data obtained must be 'sorted' in subsamples generated by different probabilistic mechanisms. Only after such classification we can make correct inferences about all DGPs. There exists yet another type of problem for complex systems. Here it is important to detect possible (but unpredictable) changes of DGPs on-line with data collection. Since the complex system can change the probabilistic mechanism of data generation, the correct statistical analysis of such data must begin with decisions about possible changes in DGPs.
Non Parametric Statistical Diagnosis
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Author : E. Brodsky
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-04-30
Non Parametric Statistical Diagnosis written by E. Brodsky 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 2000-04-30 with Business & Economics categories.
Non-Parametric Statistical Diagnosis
Non Parametric Statistical Diagnosis
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Author : E. Brodsky
language : en
Publisher:
Release Date : 2014-01-15
Non Parametric Statistical Diagnosis written by E. Brodsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Robust Nonparametric Statistical Methods
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Author : Thomas P. Hettmansperger
language : en
Publisher: Hodder Education
Release Date : 1998
Robust Nonparametric Statistical Methods written by Thomas P. Hettmansperger and has been published by Hodder Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematics categories.
Based in ranks of the data, this book offers an alternative to the traditional least squares approach. Topics include one- and two-sample location models, linear models (including multiple regression and designed experiments), and multivariate models. Rank tests and estimates for all models are developed, including bounded influence and high breakdown methods. Emphasis is on efficiency and robustness and all methods are illustrated on data sets.
Nonparametric Goodness Of Fit Testing Under Gaussian Models
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Author : Yuri Ingster
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-12
Nonparametric Goodness Of Fit Testing Under Gaussian Models written by Yuri Ingster 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 2012-11-12 with Mathematics categories.
This book presents the modern theory of nonparametric goodness-of-fit testing. It fills the gap in modern nonparametric statistical theory by discussing hypothesis testing and addresses mathematical statisticians who are interesting in the theory of non-parametric statistical inference. It will be of interest to specialists who are dealing with applied non-parametric statistical problems relevant in signal detection and transmission and in technical and medical diagnostics among others.
Nonparametric Statistical Methods Using R
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Author : John Kloke
language : en
Publisher: CRC Press
Release Date : 2014-10-09
Nonparametric Statistical Methods Using R written by John Kloke and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-09 with Mathematics categories.
A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation. They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm. The book first gives an overview of the R language and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and two-sample problems, procedures for regression models, computation for general fixed-effects ANOVA and ANCOVA models, and time-to-event analyses. The last two chapters cover more advanced material, including high breakdown fits for general regression models and rank-based inference for cluster correlated data. The book can be used as a primary text or supplement in a course on applied nonparametric or robust procedures and as a reference for researchers who need to implement nonparametric and rank-based methods in practice. Through numerous examples, it shows readers how to apply these methods using R.
Introduction To Nonparametric Statistics For The Biological Sciences Using R
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Author : Thomas W. MacFarland
language : en
Publisher: Springer
Release Date : 2016-07-06
Introduction To Nonparametric Statistics For The Biological Sciences Using R written by Thomas W. MacFarland and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-06 with Medical categories.
This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences: To introduce when nonparametric approaches to data analysis are appropriate To introduce the leading nonparametric tests commonly used in biostatistics and how R is used to generate appropriate statistics for each test To introduce common figures typically associated with nonparametric data analysis and how R is used to generate appropriate figures in support of each data set The book focuses on how R is used to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively. Following an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach.
Recent Advances And Trends In Nonparametric Statistics
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Author : M.G. Akritas
language : en
Publisher: Elsevier
Release Date : 2003-10-31
Recent Advances And Trends In Nonparametric Statistics written by M.G. Akritas and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-10-31 with Computers categories.
The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime examples include the bootstrap and resampling methods, wavelets and nonlinear smoothers, graphical methods, data mining, bioinformatics, as well as the more recent algorithmic approaches such as bagging and boosting. This volume is a collection of short articles - most of which having a review component - describing the state-of-the art of Nonparametric Statistics at the beginning of a new millennium. Key features: . algorithic approaches . wavelets and nonlinear smoothers . graphical methods and data mining . biostatistics and bioinformatics . bagging and boosting . support vector machines . resampling methods
Tietz Fundamentals Of Clinical Chemistry And Molecular Diagnostics E Book
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Author : Nader Rifai
language : en
Publisher: Elsevier Health Sciences
Release Date : 2018-10-31
Tietz Fundamentals Of Clinical Chemistry And Molecular Diagnostics E Book written by Nader Rifai and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-31 with Medical categories.
Get the foundational knowledge you need to successfully work in a real-world, clinical lab with Tietz Fundamentals of Clinical Chemistry and Molecular Diagnostics, 8th Edition. From highly respected clinical chemistry expert Nader Rifai, this condensed, easier-to-understand version of the acclaimed Tietz Textbook of Clinical Chemistry and Molecular Diagnostics uses a laboratory perspective to guide you through selecting and performing diagnostic lab tests and accurately evaluating the results. Coverage includes laboratory principles, analytical techniques, instrumentation, analytes, pathophysiology, and more. This eighth edition features new clinical cases from The Coakley Collection, new questions from The Deacon's Challenge of Biochemical Calculations Collection, plus new content throughout the text to ensure you stay ahead of all the latest techniques, instrumentation, and technologies. - Condensed version of the clinical chemistry "bible" offers the same authoritative and well-presented content in a much more focused and streamlined manner. - Coverage of analytical techniques and instrumentation includes optical techniques, electrochemistry, electrophoresis, chromatography, mass spectrometry, enzymology, immunochemical techniques, microchips, automation, and point of care testing. - Updated chapters on molecular diagnostics cover the principles of molecular biology, nucleic acid techniques and applications, and genomes and nucleic acid alterations, reflecting the changes in this rapidly evolving field. - Learning objectives, key words, and review questions are included in each chapter to support learning. - More than 500 illustrations plus easy-to-read tables help readers better understand and remember key concepts. - NEW! Clinical Cases from The Coakley Collection use real-life scenarios to demonstrate how concepts from the text will come in to play in real life practice. - NEW! Questions from The Deacon's Challenge of Biochemical Calculations Collection help reinforce concepts and help readers' critical thinking skills. - NEW! Updated content throughout the text keeps readers up to date on the latest techniques, instrumentation, and technologies. - NEW! New lead author Nader Rifai lends his expertise as the Director of Clinical Chemistry at Children's Hospital in Boston, the Editor-in-Chief of the journal Clinical Chemistry, and a Professor of Pathology at Harvard University.