Trends in Indiana's Water Use, 1986-1996 PDF Download
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Author: Donald V. Arvin
Publisher:
ISBN:
Category : Water consumption
Languages : en
Pages : 19
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Book Description
Author: Donald V. Arvin
Publisher:
ISBN:
Category : Water consumption
Languages : en
Pages : 19
Get Book Here
Book Description
Author: Donald V. Arvin
Publisher:
ISBN:
Category : Water consumption
Languages : en
Pages : 19
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Book Description
Author: Donald V. Arvin
Publisher:
ISBN:
Category : Water consumption
Languages : en
Pages : 16
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Book Description
Author: Indiana. Department of Environmental Management
Publisher:
ISBN:
Category : Environmental policy
Languages : en
Pages : 15
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Book Description
Author: Donald V. Arvin
Publisher:
ISBN:
Category : Water consumption
Languages : en
Pages : 7
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Book Description
Author: Wayne B. Solley
Publisher: Geological Survey (USGS)
ISBN:
Category : Business & Economics
Languages : en
Pages : 92
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Book Description
Author:
Publisher:
ISBN:
Category : Flood control
Languages : en
Pages : 130
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Book Description
Author: Paul Kvam
Publisher: John Wiley & Sons
ISBN: 1119268168
Category : Mathematics
Languages : en
Pages : 452
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Book Description
NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING WITH R Introduction to the methods and techniques of traditional and modern nonparametric statistics, incorporating R code 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. Relevant built-in functions and packages on CRAN are also provided with a sample code. R codes in the new edition not only enable readers to perform nonparametric analysis easily, but also to visualize and explore data using R’s powerful graphic systems, such as ggplot2 package and R base graphic system. The new edition includes useful tables at the end of each chapter that help the reader find data sets, files, functions, and packages that are used and relevant to the respective chapter. New examples and exercises that enable readers to gain a deeper insight into nonparametric statistics and increase their comprehension are also included. Some of the sample topics discussed in Nonparametric Statistics with Applications to Science and Engineering with R include: Basics of probability, statistics, Bayesian statistics, order statistics, Kolmogorov–Smirnov test statistics, rank tests, and designed experiments Categorical data, estimating distribution functions, density estimation, least squares regression, curve fitting techniques, wavelets, and bootstrap sampling EM algorithms, statistical learning, nonparametric Bayes, WinBUGS, properties of ranks, and Spearman coefficient of rank correlation Chi-square and goodness-of-fit, contingency tables, Fisher exact test, MC Nemar test, Cochran’s test, Mantel–Haenszel test, and Empirical Likelihood Nonparametric Statistics with Applications to Science and Engineering with R is a highly valuable resource for graduate students in engineering and the physical and mathematical sciences, as well as researchers who need a more comprehensive, but succinct understanding of modern nonparametric statistical methods.
Author: Paul H. Kvam
Publisher: John Wiley & Sons
ISBN: 9780470168691
Category : Mathematics
Languages : en
Pages : 448
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Book Description
A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics This book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both established and newly developed methods. With the use of MATLAB, the authors present information on theorems and rank tests in an applied fashion, with an emphasis on modern methods in regression and curve fitting, bootstrap confidence intervals, splines, wavelets, empirical likelihood, and goodness-of-fit testing. Nonparametric Statistics with Applications to Science and Engineering begins with succinct coverage of basic results for order statistics, methods of categorical data analysis, nonparametric regression, and curve fitting methods. The authors then focus on nonparametric procedures that are becoming more relevant to engineering researchers and practitioners. The important fundamental materials needed to effectively learn and apply the discussed methods are also provided throughout the book. Complete with exercise sets, chapter reviews, and a related Web site that features downloadable MATLAB applications, this book is an essential textbook for graduate courses in engineering and the physical sciences and also serves as a valuable reference for researchers who seek a more comprehensive understanding of modern nonparametric statistical methods.
Author: Wayne B. Solley
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 88
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Book Description
