Nonparametric Statistics with Applications to Science and Engineering
John Wiley & Sons Inc (Verlag)
978-0-470-08147-1 (ISBN)
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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.
Paul H. Kvam, PhD, is Professor of Industrial and Systems Engineering at Georgia Institute of Technology. His research interests include nonparametric estimation, statistical reliability with applications to engineering, and analysis of complex and dependent systems. He has written over fifty refereed articles and was named a Fellow of the American Statistical Association in 2006. Brani Vidakovic, PhD, is Professor of Statistics and Director of the Center for Bioengineering Statistics at The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology. He has authored or co-authored three books and has published more than four dozen refereed articles. His areas of interest include wavelets, Bayesian inference, biostatistics, statistical methods in environmental research, and statistical education.
Preface. 1. Introduction. 2. Probability Basics. 3. Statistics Basics. 4. Bayesian Statistics. 5. Order Statistics. 6. Goodness of Fit. 7. Rank Tests. 8. Designed Experiments. 9. Categorical Data. 10. Estimating Distribution Functions. 11. Density Estimation. 12. Beyond Linear Regression. 13. Curve Fitting Techniques. 14. Wavelets. 15. Bootstrap. 16. EM Algorithm. 17. Statistical Learning. 18. Nonparametric Bayes. A. MATLAB. B. WinBUGS. MATLAB Index. Author Index. Subject Index.
Erscheint lt. Verlag | 17.8.2007 |
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Reihe/Serie | Wiley Series in Probability and Statistics |
Verlagsort | New York |
Sprache | englisch |
Maße | 166 x 236 mm |
Gewicht | 830 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
Mathematik / Informatik ► Mathematik ► Statistik | |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
ISBN-10 | 0-470-08147-3 / 0470081473 |
ISBN-13 | 978-0-470-08147-1 / 9780470081471 |
Zustand | Neuware |
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