Lee un libro The Measurement of Association: A Permutation Statistical Approach de Kenneth J. Berry,Janis E. Johnston,Paul W. Mielke Jr. libros ebooks, The Measurement of Association: A Permutation Statistical Approach Libro pdf gratis
The Measurement of Association: A Permutation Statistical Approach de Kenneth J. Berry,Janis E. Johnston,Paul W. Mielke Jr.
Descripción - Reseña del editor This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association. Association is broadly defined to include measures of correlation for two interval-level variables, measures of association for two nominal-level variables or two ordinal-level variables, and measures of agreement for two nominal-level or two ordinal-level variables. Additionally, measures of association for mixtures of the three levels of measurement are considered: nominal-ordinal, nominal-interval, and ordinal-interval measures. Numerous comparisons of permutation and classical statistical methods are presented.Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This book takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field. This topic is relatively new in that it took modern computing power to make permutation methods available to those working in mainstream research.Written for a statistically informed audience, it is particularly useful for teachers of statistics, practicing statisticians, applied statisticians, and quantitative graduate students in fields such as psychology, medical research, epidemiology, public health, and biology. It can also serve as a textbook in graduate courses in subjects like statistics, psychology, and biology. Contraportada This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association. Association is broadly defined to include measures of correlation for two interval-level variables, measures of association for two nominal-level variables or two ordinal-level variables, and measures of agreement for two nominal-level or two ordinal-level variables. Additionally, measures of association for mixtures of the three levels of measurement are considered: nominal-ordinal, nominal-interval, and ordinal-interval measures. Numerous comparisons of permutation and classical statistical methods are presented. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This book takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field. This topic is relatively new in that it took modern computing power to make permutation methods available to those working in mainstream research.Written for a statistically informed audience, it is particularly useful for teachers of statistics, practicing statisticians, applied statisticians, and quantitative graduate students in fields such as psychology, medical research, epidemiology, public health, and biology. It can also serve as a textbook in graduate courses in subjects like statistics, psychology, and biology. Biografía del autor Paul W. Mielke, Jr. is Emeritus Professor at Colorado State University and a fellow of the American Statistical Association. He received a B.A. in mathematics from the University of Minnesota before training in meteorology at the University of Chicago for the U.S. Air Force. He earned an M.A. in mathematics from the University of Arizona and a Ph.D. in biostatistics from the University of Minnesota. In 1963 he joined the Department of Mathematics and Statistics at Colorado State University, retiring in 2002. His research interests are in permutation methods, meteorology, and environmental issues. Kenneth J. Berry is Professor of Sociology at Colorado State University. He received a B.A. in sociology from Kalamazoo College and a Ph.D. in sociology from the University of Oregon. He was employed by the University of Buffalo for four years before joining the Department of Sociology at Colorado State University in 1970, where he remains. His research interests are in non-parametric tests and measures, permutation methods, and statistical inference. Janis E. Johnston works for the U.S. Government as a data analyst. She received B.S. degrees in mathematics and natural science from the University of Wyoming, her M.A. in sociology from the University of Wyoming, and her Ph.D. from Colorado State University. From 2007 to 2009 she was an American Association for the Advancement of Science, Science & Technology fellow and began government service after the fellowship. Her research interests are in permutation methods, statistical inference, and policy analysis.
Detalles del Libro
- Name: The Measurement of Association: A Permutation Statistical Approach
- Autor: Kenneth J. Berry,Janis E. Johnston,Paul W. Mielke Jr.
- Categoria: Libros,Libros universitarios y de estudios superiores,Medicina y ciencias de la salud
- Tamaño del archivo: 8 MB
- Tipos de archivo: PDF Document
- Descargada: 435 times
- Idioma: Español
- Archivos de estado: AVAILABLE
[Download] The Measurement of Association: A Permutation Statistical Approach de Kenneth J. Berry,Janis E. Johnston,Paul W. Mielke Jr. libros ebooks
Buscalibre chile libros del autor paul johnson buscalibre chile libros del autor paul johnson ver opiniones y comentarios compra y venta de libros importados novedades y bestsellers en tu librería online buscalibre chile y buscalibros compra libros sin iva en buscalibre
Free ebooks library download pdf ebooks read ebooks online download free pdf or zip ebooks or read online ebooks library of free ebooks available under free ebooks licenses such as gfdl creative commons license project gutenbergtm license other freedom to use and distribution licenses
Using r to simulate permutation distribution statistical using r to simulate permutation distributions for some elementary experimental designs
Applying the permutation test to factorial designs a f sc art3a1037582fbrm422366 free download as pdf file pdf text file txt or read online for free
Cfa level 1 2 amp 3 question bank frm part 1 amp 2 qbank register today to get free access to our cfa level 1 question bank analystprep also features qbanks and study notes for cfa level 2amp3 and frm part 1amp2
Share and discover knowledge on linkedin slideshare discover share and present presentations and infographics with the worlds largest professional content sharing community
Pdf drive search and download pdf files for free pdf drive is your search engine for pdf files as of today we have 83263609 ebooks for you to download for free no annoying ads no download limits enjoy it and dont forget to bookmark and share the love
Una medida de eficiencia de mercado un enfoque de teoría en este trabajo con base en el concepto de entropía de shannon se propone una medida de eficiencia de mercado que utiliza la función de densidad empírica de los rendimientos como alfabeto para calcular la entropía del sistema y proveer con ello una medida de eficiencia de mercado
Facultad de informática the statistical assessment of the empirical comparison of algorithms is an essential step in heuristic optimization classically researchers have relied on the use of statistical tests however recently concerns about their use have arisen and in many fields other bayesian alternatives are being considered
Documento completo en baja resolución descargar archivo biblioteca en línea materiales de aprendizaje gratuitos ninguna categoria documento completo en baja resolución descargar archivo