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 Free Download Nonparametric Statistics with Applications to Science and Engineering by Paul H. Kvam, Brani Vidakovic English | PDF | 2007 | 431 Pages | ISBN : 0470081473 | 18.4 MB A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics  Free Download Nonparametric Analysis of Univariate Heavy‐Tailed dаta: Research and Practice by Natalia Markovich English | PDF | 2007 | 328 Pages | ISBN : 0470510870 | 32.1 MB Heavy-tailed distributions are typical for phenomena in complex multi-component systems such as biometry, economics, ecological systems, sociology, web access statistics, internet traffic, biblio-metrics, finance and business. The analysis of such distributions requires special methods of estimation due to their specific features. These are not only the slow decay to zero of the tail, but also the violation of Cramer's condition, possible non-existence of some moments, and sparse observations in the tail of the distribution.  Free Download Principles of Nonparametric Learning by László Györfi English | PDF (True) | 2002 | 344 Pages | ISBN : 3211836888 | 24 MB The book provides systematic in-depth analysis of nonparametric learning. It covers the theoretical limits and the asymptotical optimal algorithms and estimates, such as pattern recognition, nonparametric regression estimation, universal prediction, vector quantization, distribution and density estimation and genetic programming. The book is mainly addressed to postgraduates in engineering, mathematics, computer science, and researchers in universities and research institutions.
 Free Download Nonparametric Statistics for Health Care Research: Statistics for Small Samples and Unusual Distributions By Marjorie (Marg) A. Pett 2015 | 472 Pages | ISBN: 1452281963 | PDF | 93 MB What do you do when you realize that the data set from the study that you have just completed violates the sample size or other requirements needed to apply parametric statistics? Nonparametric Statistics for Health Care Research by Marjorie A. Pett was developed for such scenarios―research undertaken with limited funds, often using a small sample size, with the primary objective of improving client care and obtaining better client outcomes. Covering the most commonly used nonparametric statistical techniques available in statistical packages and on open-resource statistical websites, this well-organized and accessible Second Edition helps readers, including those beyond the health sciences field, to understand when to use a particular nonparametric statistic, how to generate and interpret the resulting computer printouts,andhow to present the results in table and text format  Free Download Nonparametric Statistics with Applications to Science and Engineering with R (2nd Edition) English | 2023 | ISBN: 1119268133 | 448 Pages | True EPUB | 20 MB Nonparametric Statistics with Applications to Science and Engineering with R presents modern nonparametric statistics from a practical point of view, with the newly revised edition including custom R functions implementing nonparametric methods to explain how to compute them and make them more comprehensible.  English | 2022 | ISBN: 9781119268130 | 451 pages | True PDF | 10.98 MB Introduction to the methods and techniques of traditional and modern nonparametric statistics, incorporating R code  Introduction to Statistics: The Nonparametric Way by Gottfried E. Noether English | PDF | 1991 | 414 Pages | ISBN : 0387972846 | 31 MB The introductory statistics course presents serious pedagogical problems to the instructor. For the great majority of students, the course represents the only formal contact with statistical thinking that he or she will have in college. Students come from many different fields of study, and a large number suffer from math anxiety.  Nonlinear Time Series: Nonparametric and Parametric Methods by Jianqing Fan, Qiwei Yao English | PDF | 2003 | 565 Pages | ISBN : 0387261427 | 3.8 MB This is the first book that integrates useful parametric and nonparametric techniques with time series modeling and prediction, the two important goals of time series analysis. Such a book will benefit researchers and practitioners in various fields such as econometricians, meteorologists, biologists, among others who wish to learn useful time series methods within a short period of time. The book also intends to serve as a reference or text book for graduate students in statistics and econometrics.  E. Michael Nussbaum, "Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique" English | ISBN: 1138787825 | 2014 | 526 pages | PDF | 6 MB Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of the techniques. The underlying assumptions of each test and the factors that impact validity and statistical power are reviewed so readers can explain their assumptions and how tests work in future publications. Numerous examples from psychology, education, and other social sciences demonstrate varied applications of the material. Basic statistics and probability are reviewed for those who need a refresher. Mathematical derivations are placed in optional appendices for those interested in this detailed coverage. |
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