Nonparametric Statistics With Applications To Science And Engineering

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Nonparametric Statistics with Applications to Science and Engineering

Paul H. Kvam,Brani Vidakovic
Nonparametric Statistics with Applications to Science and Engineering Book PDF

Author : Paul H. Kvam,Brani Vidakovic
Publisher : John Wiley & Sons
Page : 448 pages
File Size : 54,8 Mb
Release : 2007-08-24
Category : Mathematics
ISBN : 0470168692

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Nonparametric Statistics with Applications to Science and Engineering by Paul H. Kvam,Brani Vidakovic Pdf

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.

Nonparametric Statistics with Applications to Science and Engineering with R

Paul Kvam,Brani Vidakovic,Seong-joon Kim
Nonparametric Statistics with Applications to Science and Engineering with R Book PDF

Author : Paul Kvam,Brani Vidakovic,Seong-joon Kim
Publisher : John Wiley & Sons
Page : 452 pages
File Size : 51,7 Mb
Release : 2022-10-06
Category : Mathematics
ISBN : 9781119268161

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Nonparametric Statistics with Applications to Science and Engineering with R by Paul Kvam,Brani Vidakovic,Seong-joon Kim Pdf

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.

Statistics and Probability with Applications for Engineers and Scientists

Bhisham C. Gupta,Irwin Guttman
Statistics and Probability with Applications for Engineers and Scientists Book PDF

Author : Bhisham C. Gupta,Irwin Guttman
Publisher : John Wiley & Sons
Page : 896 pages
File Size : 51,9 Mb
Release : 2013-04-29
Category : Mathematics
ISBN : 9781118464045

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Statistics and Probability with Applications for Engineers and Scientists by Bhisham C. Gupta,Irwin Guttman Pdf

Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.

All of Nonparametric Statistics

Larry Wasserman
All of Nonparametric Statistics Book PDF

Author : Larry Wasserman
Publisher : Springer Science & Business Media
Page : 272 pages
File Size : 40,6 Mb
Release : 2006-09-10
Category : Mathematics
ISBN : 9780387306230

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All of Nonparametric Statistics by Larry Wasserman Pdf

This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. It covers a wide range of topics including the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book’s dual approach includes a mixture of methodology and theory.

Nonparametric Statistical Methods

Myles Hollander,Douglas A. Wolfe,Eric Chicken
Nonparametric Statistical Methods Book PDF

Author : Myles Hollander,Douglas A. Wolfe,Eric Chicken
Publisher : John Wiley & Sons
Page : 978 pages
File Size : 52,6 Mb
Release : 2013-11-25
Category : Mathematics
ISBN : 9781118553299

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Nonparametric Statistical Methods by Myles Hollander,Douglas A. Wolfe,Eric Chicken Pdf

Praise for the Second Edition “This book should be an essential part of the personal library of every practicing statistician.”—Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of nonparametric methods as a significant branch of modern statistics and equips readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for any given situation. Written by leading statisticians, Nonparametric Statistical Methods, Third Edition provides readers with crucial nonparametric techniques in a variety of settings, emphasizing the assumptions underlying the methods. The book provides an extensive array of examples that clearly illustrate how to use nonparametric approaches for handling one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. In addition, the Third Edition features: The use of the freely available R software to aid in computation and simulation, including many new R programs written explicitly for this new edition New chapters that address density estimation, wavelets, smoothing, ranked set sampling, and Bayesian nonparametrics Problems that illustrate examples from agricultural science, astronomy, biology, criminology, education, engineering, environmental science, geology, home economics, medicine, oceanography, physics, psychology, sociology, and space science Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper-undergraduate and first-year graduate courses in applied nonparametric statistics.

Statistics and Probability with Applications for Engineers and Scientists Set

Bhisham C. Gupta,Irwin Guttman
Statistics and Probability with Applications for Engineers and Scientists Set Book PDF

Author : Bhisham C. Gupta,Irwin Guttman
Publisher : Wiley
Page : 0 pages
File Size : 54,5 Mb
Release : 2013-11-09
Category : Mathematics
ISBN : 1118789822

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Statistics and Probability with Applications for Engineers and Scientists Set by Bhisham C. Gupta,Irwin Guttman Pdf

This set includes Statistics and Probability with Applications for Engineers and Scientists & Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. This book features comprehensive guidance on the design of experiments, detailed discussions on sampling distributions, and a clear presentation of nonparametric methods and simple and multiple linear regression methods. Readers will also find clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. This introductory text presents a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.

Statistics and Probability with Applications for Engineers and Scientists

Bhisham C Gupta,Irwin Guttman
Statistics and Probability with Applications for Engineers and Scientists Book PDF

Author : Bhisham C Gupta,Irwin Guttman
Publisher : John Wiley & Sons
Page : 898 pages
File Size : 44,6 Mb
Release : 2014-03-06
Category : Mathematics
ISBN : 9781118522202

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Statistics and Probability with Applications for Engineers and Scientists by Bhisham C Gupta,Irwin Guttman Pdf

Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.

Methodology in Robust and Nonparametric Statistics

Jana Jurečková,Pranab Kumar Sen,Jan Picek
Methodology in Robust and Nonparametric Statistics Book PDF

Author : Jana Jurečková,Pranab Kumar Sen,Jan Picek
Publisher : CRC Press
Page : 411 pages
File Size : 51,5 Mb
Release : 2012-07-20
Category : Mathematics
ISBN : 9781439840689

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Methodology in Robust and Nonparametric Statistics by Jana Jurečková,Pranab Kumar Sen,Jan Picek Pdf

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level computer-based algorithms, but to work actively with robust and nonparametric procedures, practitioners need to understand their background. Explaining the underpinnings of robust methods and recent theoretical developments, Methodology in Robust and Nonparametric Statistics provides a profound mathematically rigorous explanation of the methodology of robust and nonparametric statistical procedures. Thoroughly up-to-date, this book Presents multivariate robust and nonparametric estimation with special emphasis on affine-equivariant procedures, followed by hypotheses testing and confidence sets Keeps mathematical abstractions at bay while remaining largely theoretical Provides a pool of basic mathematical tools used throughout the book in derivations of main results The methodology presented, with due emphasis on asymptotics and interrelations, will pave the way for further developments on robust statistical procedures in more complex models. Using examples to illustrate the methods, the text highlights applications in the fields of biomedical science, bioinformatics, finance, and engineering. In addition, the authors provide exercises in the text.

Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis

Victor Patrangenaru,Leif Ellingson
Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis Book PDF

Author : Victor Patrangenaru,Leif Ellingson
Publisher : CRC Press
Page : 534 pages
File Size : 41,7 Mb
Release : 2015-09-18
Category : Mathematics
ISBN : 9781439820513

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Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis by Victor Patrangenaru,Leif Ellingson Pdf

A New Way of Analyzing Object Data from a Nonparametric ViewpointNonparametric Statistics on Manifolds and Their Applications to Object Data Analysis provides one of the first thorough treatments of the theory and methodology for analyzing data on manifolds. It also presents in-depth applications to practical problems arising in a variety of fields

Applied Nonparametric Statistics in Reliability

M. Luz Gámiz,K. B. Kulasekera,Nikolaos Limnios,Bo Henry Lindqvist
Applied Nonparametric Statistics in Reliability Book PDF

Author : M. Luz Gámiz,K. B. Kulasekera,Nikolaos Limnios,Bo Henry Lindqvist
Publisher : Springer
Page : 230 pages
File Size : 46,8 Mb
Release : 2011-02-23
Category : Technology & Engineering
ISBN : 085729119X

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Applied Nonparametric Statistics in Reliability by M. Luz Gámiz,K. B. Kulasekera,Nikolaos Limnios,Bo Henry Lindqvist Pdf

Nonparametric statistics has probably become the leading methodology for researchers performing data analysis. It is nevertheless true that, whereas these methods have already proved highly effective in other applied areas of knowledge such as biostatistics or social sciences, nonparametric analyses in reliability currently form an interesting area of study that has not yet been fully explored. Applied Nonparametric Statistics in Reliability is focused on the use of modern statistical methods for the estimation of dependability measures of reliability systems that operate under different conditions. The scope of the book includes: smooth estimation of the reliability function and hazard rate of non-repairable systems; study of stochastic processes for modelling the time evolution of systems when imperfect repairs are performed; nonparametric analysis of discrete and continuous time semi-Markov processes; isotonic regression analysis of the structure function of a reliability system, and lifetime regression analysis. Besides the explanation of the mathematical background, several numerical computations or simulations are presented as illustrative examples. The corresponding computer-based methods have been implemented using R and MATLAB®. A concrete modelling scheme is chosen for each practical situation and, in consequence, a nonparametric inference procedure is conducted. Applied Nonparametric Statistics in Reliability will serve the practical needs of scientists (statisticians and engineers) working on applied reliability subjects.

Managing Projects with Smart Technologies

Bon-Gang Hwang,Jasmine Ngo,Hanjing Zhu
Managing Projects with Smart Technologies Book PDF

Author : Bon-Gang Hwang,Jasmine Ngo,Hanjing Zhu
Publisher : Taylor & Francis
Page : 281 pages
File Size : 48,6 Mb
Release : 2024-04-23
Category : Technology & Engineering
ISBN : 9781040020326

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Managing Projects with Smart Technologies by Bon-Gang Hwang,Jasmine Ngo,Hanjing Zhu Pdf

With a focus on project managers (PMs) in the construction industry, this book addresses the impact of smart technology applications on project management and examines how technologically competent PMs can be developed for successfully managing and delivering projects with smart technologies. The book assesses the changes to the knowledge and skillsets required to manage projects with smart technologies; develops a Technological Competency Framework to improve PM competency when managing projects with smart technologies; and develops a Knowledge-Based Technological Competency Analytics and Innovations System to assess and improve the technological competency of PMs and provide recommendations to improve their competency. Managing Projects with Smart Technologies is ideal for PMs and academics in the areas of construction project management, engineering, architecture, and infrastructure and anyone involved in the technical training of professionals in these areas.

Multistate Systems Reliability Theory with Applications

Bent Natvig
Multistate Systems Reliability Theory with Applications Book PDF

Author : Bent Natvig
Publisher : John Wiley & Sons
Page : 203 pages
File Size : 43,9 Mb
Release : 2010-12-07
Category : Mathematics
ISBN : 9780470977132

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Multistate Systems Reliability Theory with Applications by Bent Natvig Pdf

Most books in reliability theory are dealing with a description of component and system states as binary: functioning or failed. However, many systems are composed of multi-state components with different performance levels and several failure modes. There is a great need in a series of applications to have a more refined description of these states, for instance, the amount of power generated by an electrical power generation system or the amount of gas that can be delivered through an offshore gas pipeline network. This book provides a descriptive account of various types of multistate system, bound-for multistate systems, probabilistic modeling of monitoring and maintenance of multistate systems with components along with examples of applications. Key Features: Looks at modern multistate reliability theory with applications covering a refined description of components and system states. Presents new research, such as Bayesian assessment of system availabilities and measures of component importance. Complements the methodological description with two substantial case studies. Reliability engineers and students involved in the field of reliability, applied mathematics and probability theory will benefit from this book.

Introduction to Probability and Statistics for Engineers and Scientists

Sheldon M. Ross
Introduction to Probability and Statistics for Engineers and Scientists Book PDF

Author : Sheldon M. Ross
Publisher : Unknown
Page : 532 pages
File Size : 49,6 Mb
Release : 1987
Category : Mathematics
ISBN : UOM:39015013026342

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Introduction to Probability and Statistics for Engineers and Scientists by Sheldon M. Ross Pdf

Elements of probability; Random variables and expectation; Special; random variables; Sampling; Parameter estimation; Hypothesis testing; Regression; Analysis of variance; Goodness of fit and nonparametric testing; Life testing; Quality control; Simulation.

Probability & Statistics with R for Engineers and Scientists

Michael Akritas
Probability Statistics with R for Engineers and Scientists Book PDF

Author : Michael Akritas
Publisher : Pearson
Page : 528 pages
File Size : 45,5 Mb
Release : 2018-03-21
Category : Engineering
ISBN : 013499535X

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Probability & Statistics with R for Engineers and Scientists by Michael Akritas Pdf

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles. This text grew out of the author's notes for a course that he has taught for many years to a diverse group of undergraduates. The early introduction to the major concepts engages students immediately, which helps them see the big picture, and sets an appropriate tone for the course. In subsequent chapters, these topics are revisited, developed, and formalized, but the early introduction helps students build a true understanding of the concepts. The text utilizes the statistical software R, which is both widely used and freely available (thanks to the Free Software Foundation). However, in contrast with other books for the intended audience, this book by Akritas emphasizes not only the interpretation of software output, but also the generation of this output. Applications are diverse and relevant, and come from a variety of fields.

Bayesian Networks

Timo Koski,John Noble
Bayesian Networks Book PDF

Author : Timo Koski,John Noble
Publisher : John Wiley & Sons
Page : 275 pages
File Size : 55,6 Mb
Release : 2011-08-26
Category : Mathematics
ISBN : 9781119964957

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Bayesian Networks by Timo Koski,John Noble Pdf

Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include: An introduction to Dirichlet Distribution, Exponential Families and their applications. A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods. A discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning. All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online. This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology. Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest.