Statistical Inference Based On Ranks
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Statistical Inference Based On Ranks
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Author : Thomas P. Hettmansperger
language : en
Publisher:
Release Date : 1991
Statistical Inference Based On Ranks written by Thomas P. Hettmansperger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Mathematics categories.
Nonparametric Statistical Inference
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Author : Jean Dickinson Gibbons
language : en
Publisher: CRC Press
Release Date : 2014-03-10
Nonparametric Statistical Inference written by Jean Dickinson Gibbons and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-10 with Mathematics categories.
Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences. The book presents new material on the quantiles, the calculation of exact and simulated power, multiple comparisons, additional goodness-of-fit tests, methods of analysis of count data, and modern computer applications using MINITAB, SAS, and STATXACT. It includes tabular guides for simplified applications of tests and finding P values and confidence interval estimates.
Rank And Pseudo Rank Procedures For Independent Observations In Factorial Designs
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Author : Edgar Brunner
language : en
Publisher: Springer
Release Date : 2019-07-15
Rank And Pseudo Rank Procedures For Independent Observations In Factorial Designs written by Edgar Brunner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-15 with Medical categories.
This book explains how to analyze independent data from factorial designs without having to make restrictive assumptions, such as normality of the data, or equal variances. The general approach also allows for ordinal and even dichotomous data. The underlying effect size is the nonparametric relative effect, which has a simple and intuitive probability interpretation. The data analysis is presented as comprehensively as possible, including appropriate descriptive statistics which follow a nonparametric paradigm, as well as corresponding inferential methods using hypothesis tests and confidence intervals based on pseudo-ranks. Offering clear explanations, an overview of the modern rank- and pseudo-rank-based inference methodology and numerous illustrations with real data examples, as well as the necessary R/SAS code to run the statistical analyses, this book is a valuable resource for statisticians and practitioners alike.
Robust Rank Based And Nonparametric Methods
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Author : Regina Y. Liu
language : en
Publisher: Springer
Release Date : 2016-09-20
Robust Rank Based And Nonparametric Methods written by Regina Y. Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-20 with Mathematics categories.
The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections, and develop efficient algorithms for their computation. The papers cover the scope of the area, including robust nonparametric rank-based procedures through Bayesian and big data rank-based analyses. Areas of application include biostatistics and spatial areas. Over the last 30 years, robust rank-based and nonparametric methods have developed considerably. These procedures generalize traditional Wilcoxon-type methods for one- and two-sample location problems. Research into these procedures has culminated in complete analyses for many of the models used in practice including linear, generalized linear, mixed, and nonlinear models. Settings are both multivariate and univariate. With the development of R packages in these areas, computation of these procedures is easily shared with readers and implemented. This book is developed from the International Conference on Robust Rank-Based and Nonparametric Methods, held at Western Michigan University in April 2015.
Fundamentals Of Order And Rank Statistics
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Author : Iickho Song
language : en
Publisher: Springer Nature
Release Date : 2024-04-24
Fundamentals Of Order And Rank Statistics written by Iickho Song and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-24 with Mathematics categories.
This book is devoted to the fundamentals of order and rank statistics. Primarily focusing on theoretical properties, it also discusses practical aspects, including interesting applications of step and impulse functions for the distribution of random variables, magnitudes, and signs. New concepts are introduced, such as independent and semi-identically distributed random vectors and probability density-mass functions. This book also presents an investigation of relative magnitudes in order statistics, and of correlation coefficients among signs, ranks, and magnitudes. The basic concepts are described in clear terms, and step-by-step details are provided for most of the presented mathematical results. The exposition is accompanied by numerous examples and more than 100 exercises, for which a complete solution manual is available. Providing a useful reference, and requiring only a basic understanding of probability and random variables, the book will appeal to a wide readership.
Statistical Inference Pathways For Researchers
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-07-12
Statistical Inference Pathways For Researchers written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-12 with Science categories.
"Statistical Inference: Pathways for Researchers" is a comprehensive and accessible guide to the principles and methods of statistical inference. Written with clarity and rigor, this book provides a solid foundation in statistical theory and its practical applications, catering to the needs of researchers, students, and practitioners alike. This book takes a comprehensive approach to statistical inference, covering a wide range of topics, including probability theory, statistical decision theory, estimation theory, hypothesis testing, nonparametric statistics, advanced topics in statistical inference, statistical computing, and applications of statistical inference in various fields. With its in-depth explanations, real-world examples, and thought-provoking exercises, "Statistical Inference: Pathways for Researchers" empowers readers to develop a deep understanding of statistical concepts and methodologies. It enables them to make informed decisions, draw meaningful conclusions from data, and contribute to the advancement of knowledge in their respective fields. Whether you are a researcher seeking to enhance your statistical skills, a student pursuing a degree in statistics or a related field, or a practitioner looking to stay updated with the latest statistical methods, "Statistical Inference: Pathways for Researchers" is an invaluable resource. It provides a comprehensive and up-to-date treatment of statistical inference, equipping readers with the knowledge and skills necessary to tackle complex statistical problems and make informed decisions based on data. Key Features: - Comprehensive coverage of statistical theory and methods - Clear and engaging writing style - Real-world examples and case studies - Thought-provoking exercises - Ideal for researchers, students, and practitioners "Statistical Inference: Pathways for Researchers" is your gateway to unlocking the power of data and making informed decisions based on evidence. If you like this book, write a review!
Gravity Geoid And Space Missions
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Author : Christopher Jekeli
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-07-04
Gravity Geoid And Space Missions written by Christopher Jekeli 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 2005-07-04 with Science categories.
This volume represents the proceedings of the International Symposium on Gravity, Geoid, and Space Missions (GGSM2004), held in Porto, Portugal, 30 August - 3 September 2004. The symposium encompassed the themes of Commission 2 (Gravity Field) of IAG, as well as interdisciplinary topics related to geoid and gravity field, including integration of heterogeneous data and contributions from satellite and airborne techniques. Special focus was on gravity-dedicated satellite missions like CHAMP, GRACE, and GOCE. Projects addressing topographic and ice field mapping using SAR, LIDAR, and laser altimetry, as well as missions and studies related to planetary geodesy were also covered.
Probability Theory And Mathematical Statistics Vol 2
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Author : B. Grigelionis
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-05-18
Probability Theory And Mathematical Statistics Vol 2 written by B. Grigelionis and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-18 with Mathematics categories.
No detailed description available for "PROB. TH. MATH. ST. ( GRIGELIONIS) VOL. 2 PROC.5/1989 E-BOOK".
Observational Studies
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Author : Paul R. Rosenbaum
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Observational Studies written by Paul R. Rosenbaum 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 2013-06-29 with Mathematics categories.
An observational study is an empirical investigation of the effects of treatments, policies, or exposures. It differes from an experiment in that the investigator cannot control the assignments of treatments to subjects. Scientists across a wide range of disciplines undertake such studies, and the aim of this book is to provide a sound statistical account of the principles and methods for the design and analysis of observational studies. Readers are assumed to have a working knowledge of basic probability and statistics, but otherwise the account is reasonably self-contained. Throughout there are extended discussions of actual observational studies to illustrate the ideas discussed. These are drawn from topics as diverse as smoking and lung cancer, lead in children, nuclear weapons testing, and placement programs for students. As a result, many researchers involved in observational studes will find this an invaluable companion to their work.
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