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Statistics and probability with applications for engineers and scientists using Minitab, R and JMP /

"This new edition shows how real world problems can be solved using statistical concepts, now with many timely updates. The authors have included R software and removed the Excel exhibits throughout the book. The new Chapter 20 discusses data mining including topics in big data, classification,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Gupta, Bhisham C., 1942- (Autor), Guttman, Irwin (Autor), Jayalath, Kalanka (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : John Wiley & Sons, Inc., 2020.
Edición:Second edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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100 1 |a Gupta, Bhisham C.,  |d 1942-  |e author. 
240 1 0 |a Statistics and probability with applications for engineers and scientists 
245 1 0 |a Statistics and probability with applications for engineers and scientists using Minitab, R and JMP /  |c Bhisham C. Gupta, Irwin Guttman, Kalanka P. Jayalath. 
250 |a Second edition. 
264 1 |a Hoboken, NJ :  |b John Wiley & Sons, Inc.,  |c 2020. 
264 4 |c ©2020 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
347 |a text file  |2 rda 
500 |a Revision of: Statistics and probability with applications for engineers and scientists. 2013. 
504 |a Includes bibliographical references and index. 
520 |a "This new edition shows how real world problems can be solved using statistical concepts, now with many timely updates. The authors have included R software and removed the Excel exhibits throughout the book. The new Chapter 20 discusses data mining including topics in big data, classification, machine learning, and visualization. The new Chapter 21 covers cluster analysis methodologies including in hierarchical, nonhierarchical, and model based clustering. In addition, the authors have included a chapter on Response Surveys within the book, which was previously only available on the book's companion website. This book is broken into two parts. Part I covers topics such as: elements of probability, discrete random variables and some important discrete probability distributions, distribution functions of random variables, and estimation of population parameters. Part II covers: elements of reliability theory, statistical quality control, analysis of categorical data, and analysis of variance. The appendices contain statistical tables and charts and answers to selected problems"--  |c Provided by publisher. 
505 0 |a Cover -- Title Page -- Copyright -- Contents -- Chapter 1 Introduction -- 1.1 Designed Experiment -- 1.1.1 Motivation for the Study -- 1.1.2 Investigation -- 1.1.3 Changing Criteria -- 1.1.4 A Summary of the Various Phases of the Investigation -- 1.2 A Survey -- 1.3 An Observational Study -- 1.4 A Set of Historical Data -- 1.5 A Brief Description of What is Covered in this Book -- Chapter 2 Describing Data Graphically and Numerically -- 2.1 Getting Started with Statistics -- 2.1.1 What Is Statistics? -- 2.1.2 Population and Sample in a Statistical Study 
505 8 |a 2.2 Classification of Various Types of Data -- 2.2.1 Nominal Data -- 2.2.2 Ordinal Data -- 2.2.3 Interval Data -- 2.2.4 Ratio Data -- 2.3 Frequency Distribution Tables for Qualitative and Quantitative Data -- 2.3.1 Qualitative Data -- 2.3.2 Quantitative Data -- 2.4 Graphical Description of Qualitative and Quantitative Data -- 2.4.1 Dot Plot -- 2.4.2 Pie Chart -- 2.4.3 Bar Chart -- 2.4.4 Histograms -- 2.4.5 Line Graph -- 2.4.6 Stem-and-Leaf Plot -- 2.5 Numerical Measures of Quantitative Data -- 2.5.1 Measures of Centrality -- 2.5.2 Measures of Dispersion -- 2.6 Numerical Measures of Grouped Data 
505 8 |a 2.6.1 Mean of a Grouped Data -- 2.6.2 Median of a Grouped Data -- 2.6.3 Mode of a Grouped Data -- 2.6.4 Variance of a Grouped Data -- 2.7 Measures of Relative Position -- 2.7.1 Percentiles -- 2.7.2 Quartiles -- 2.7.3 Interquartile Range (IQR) -- 2.7.4 Coefficient of Variation -- 2.8 Box-Whisker Plot -- 2.8.1 Construction of a Box Plot -- 2.8.2 How to Use the Box Plot -- 2.9 Measures of Association -- 2.10 Case Studies -- 2.10.1 About St. Luke's Hospital -- 2.11 Using JMP -- 2.11 Review Practice Problems -- Chapter 3 Elements of Probability -- 3.1 Introduction 
505 8 |a 3.2 Random Experiments, Sample Spaces, and Events -- 3.2.1 Random Experiments and Sample Spaces -- 3.2.2 Events -- 3.3 Concepts of Probability -- 3.4 Techniques of Counting Sample Points -- 3.4.1 Tree Diagram -- 3.4.2 Permutations -- 3.4.3 Combinations -- 3.4.4 Arrangements of n Objects Involving Several Kinds of Objects -- 3.5 Conditional Probability -- 3.6 Bayes's Theorem -- 3.7 Introducing Random Variables -- 3.7 Review Practice Problems -- Chapter 4 Discrete Random Variables and Some Important Discrete Probability Distributions -- 4.1 Graphical Descriptions of Discrete Distributions 
505 8 |a 4.2 Mean and Variance of a Discrete Random Variable -- 4.2.1 Expected Value of Discrete Random Variables and Their Functions -- 4.2.2 The Moment-Generating Function-Expected Value of a Special Function of X -- 4.3 The Discrete Uniform Distribution -- 4.4 The Hypergeometric Distribution -- 4.5 The Bernoulli Distribution -- 4.6 The Binomial Distribution -- 4.7 The Multinomial Distribution -- 4.8 The Poisson Distribution -- 4.8.1 Definition and Properties of the Poisson Distribution -- 4.8.2 Poisson Process -- 4.8.3 Poisson Distribution as a Limiting Form of the Binomial 
588 0 |a Online resource; title from digital title page (viewed on March 04, 2020). 
542 |f Copyright © 2020 by John Wiley & Sons  |g 2020 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Probabilities. 
650 0 |a Mathematical statistics. 
650 6 |a Probabilités. 
650 7 |a probability.  |2 aat 
650 7 |a Mathematical statistics  |2 fast 
650 7 |a Probabilities  |2 fast 
700 1 |a Guttman, Irwin,  |e author. 
700 1 |a Jayalath, Kalanka,  |e author. 
776 0 8 |i Print version:  |a Gupta, Bhisham C., 1942-  |t Statistics and probability with applications for engineers and scientists using Minitab, R and JMP.  |b Second edition.  |d Hoboken : Wiley, 2020  |z 9781119516637  |w (DLC) 2019035384 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781119516637/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
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938 |a Askews and Holts Library Services  |b ASKH  |n AH36298234 
994 |a 92  |b IZTAP