Probability & Statistics with R for Engineers and Scientists (Classic Version)

Author:   Michael Akritas
Publisher:   Pearson Education (US)
ISBN:  

9780134995359


Pages:   528
Publication Date:   18 September 2020
Format:   Paperback
Availability:   Available To Order   Availability explained
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Probability & Statistics with R for Engineers and Scientists (Classic Version)


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Full Product Details

Author:   Michael Akritas
Publisher:   Pearson Education (US)
Imprint:   Addison Wesley
Dimensions:   Width: 20.30cm , Height: 2.30cm , Length: 25.10cm
Weight:   0.862kg
ISBN:  

9780134995359


ISBN 10:   013499535
Pages:   528
Publication Date:   18 September 2020
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

1. Basic Statistical Concepts 1.1 Why Statistics? 1.2 Populations and Samples             1.2.1 Exercises  1.3 Some Sampling Concepts             1.3.1 Representative Samples              1.3.2 Simple Random Sampling, and Stratied Sampling              1.3.3 Sampling With and Without Replacement             1.3.4 Non-representative Sampling             1.3.5 Exercises  1.4 Random Variables and Statistical Populations                      1.4.1 Exercises  1.5 Basic Graphics for Data Visualization              1.5.1 Histograms and Stem and Leaf Plots             1.5.2 Scatterplots             1.5.3 Pie Charts and Bar Graphs              1.5.4 Exercises  1.6 Proportions, Averages and Variances             1.6.1 Population Proportion and Sample Proportion                    1.6.2 Population Average and Sample Average                      1.6.3 Population Variance and Sample Variance                      1.6.4 Exercises  1.7 Medians, Percentiles and Box Plots             1.7.1 Exercises  1.8 Comparative Studies              1.8.1 Basic Concepts and Comparative Graphics                     1.8.2 Lurking Variables and Simpson’s Paradox                      1.8.3 Causation: Experiments and Observational Studies                   1.8.4 Factorial Experiments: Main E

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Author Information

Michael G. Akritas has been teaching Statistics at Penn State University since 1985. He is the author of approximately 100 research publications dealing with a wide range of statistical topics. He has supervised 18 Ph.D. and 12 M.Sc. students and is currently supervising three Ph.D. students. He is co-Founder of the International Society for Nonparametric Statistics, former Director of the National Statistical Consulting Center for Astronomy and co-Editor of the Journal of Nonparametric Statistics. He held a three year affiliation with the National Technical University of Athens, and visiting appointments at MIT, Texas A&M University, University of Pennsylvania, University of Göttingen, University of Cyprus, Australian National University, and UNICAMP. He has been an elected Fellow of the Institute of Mathematical Statistics and of the American Statistical Association since 2001.

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