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Frontiers In Statistics
Jianqing Fan, Hira L Koul
- 552 pages
- English
- PDF
- Available on iOS & Android
Frontiers In Statistics
Jianqing Fan, Hira L Koul
About This Book
During the last two decades, many areas of statistical inference have experienced phenomenal growth. This book presents a timely analysis and overview of some of these new developments and a contemporary outlook on the various frontiers of statistics.Eminent leaders in the field have contributed 16 review articles and 6 research articles covering areas including semi-parametric models, data analytical nonparametric methods, statistical learning, network tomography, longitudinal data analysis, financial econometrics, time series, bootstrap and other re-sampling methodologies, statistical computing, generalized nonlinear regression and mixed effects models, martingale transform tests for model diagnostics, robust multivariate analysis, single index models and wavelets.This volume is dedicated to Prof. Peter J Bickel in honor of his 65th birthday. The first article of this volume summarizes some of Prof. Bickel's distinguished contributions.
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Table of contents
- Contents
- 1. Our Steps on the Bickel Way
- Part I. Semiparametric Modeling
- Part II. Nonparametric Methods
- Part III. Statistical Learning and Bootstrap
- Part IV. Longitudinal Data Analysis
- Part V. Statistics in Science and Technology
- Part VI. Financial Econometrics
- Part VII. Parametric Techniques and Inferences
- Subject Index
- Author Index