An Effective Bandwidth Selector For Local Least Squares Regression PDF Download
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Author | : David Ruppert |
Publisher | : |
Total Pages | : 32 |
Release | : 1993 |
Genre | : Estimation theory |
ISBN | : 9781862741928 |
Download An Effective Bandwidth Selector for Local Least Squares Regression Book in PDF, ePub and Kindle
Author | : Aaron Kenji Aragaki |
Publisher | : |
Total Pages | : 336 |
Release | : 1995 |
Genre | : |
ISBN | : |
Download A Simple Local Least Squares Approach for Estimating the Regression Function of Binary Response Data and Related Data-driven Bandwidth Selection Procedures Book in PDF, ePub and Kindle
Author | : Andrew Emerson Schulman |
Publisher | : |
Total Pages | : 396 |
Release | : 1998 |
Genre | : |
ISBN | : |
Download A Comparison of Local Bandwidth Selectors for Local Polynomial Regression Book in PDF, ePub and Kindle
Author | : Jianqing Fan |
Publisher | : Springer Science & Business Media |
Total Pages | : 626 |
Release | : 2012-11-28 |
Genre | : Mathematics |
ISBN | : 1461455448 |
Download Selected Works of Peter J. Bickel Book in PDF, ePub and Kindle
This volume presents selections of Peter J. Bickel’s major papers, along with comments on their novelty and impact on the subsequent development of statistics as a discipline. Each of the eight parts concerns a particular area of research and provides new commentary by experts in the area. The parts range from Rank-Based Nonparametrics to Function Estimation and Bootstrap Resampling. Peter’s amazing career encompasses the majority of statistical developments in the last half-century or about about half of the entire history of the systematic development of statistics. This volume shares insights on these exciting statistical developments with future generations of statisticians. The compilation of supporting material about Peter’s life and work help readers understand the environment under which his research was conducted. The material will also inspire readers in their own research-based pursuits. This volume includes new photos of Peter Bickel, his biography, publication list, and a list of his students. These give the reader a more complete picture of Peter Bickel as a teacher, a friend, a colleague, and a family man.
Author | : Robert Galata |
Publisher | : Springer Science & Business Media |
Total Pages | : 329 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 3642470270 |
Download Econometrics in Theory and Practice Book in PDF, ePub and Kindle
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Author | : Clive Loader |
Publisher | : Springer Science & Business Media |
Total Pages | : 290 |
Release | : 2006-05-09 |
Genre | : Mathematics |
ISBN | : 0387227326 |
Download Local Regression and Likelihood Book in PDF, ePub and Kindle
Separation of signal from noise is the most fundamental problem in data analysis, arising in such fields as: signal processing, econometrics, actuarial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, with extensions to local likelihood and density estimation. Practical information is also included on how to implement these methods in the programs S-PLUS and LOCFIT.
Author | : Yuichi Mori |
Publisher | : Springer Science & Business Media |
Total Pages | : 1096 |
Release | : 2004-07-14 |
Genre | : Computers |
ISBN | : 9783540404644 |
Download Handbook of Computational Statistics Book in PDF, ePub and Kindle
The Handbook of Computational Statistics: Concepts and Methodology is divided into four parts. It begins with an overview over the field of Computational Statistics. The second part presents several topics in the supporting field of statistical computing. Emphasis is placed on the need of fast and accurate numerical algorithms and it discusses some of the basic methodologies for transformation, data base handling and graphics treatment. The third part focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Finally a set of selected applications like Bioinformatics, Medical Imaging, Finance and Network Intrusion Detection highlight the usefulness of computational statistics.
Author | : Vijay Nair |
Publisher | : World Scientific |
Total Pages | : 698 |
Release | : 2007 |
Genre | : Mathematics |
ISBN | : 9812708294 |
Download Advances in Statistical Modeling and Inference Book in PDF, ePub and Kindle
There have been major developments in the field of statistics over the last quarter century, spurred by the rapid advances in computing and data-measurement technologies. These developments have revolutionized the field and have greatly influenced research directions in theory and methodology. Increased computing power has spawned entirely new areas of research in computationally-intensive methods, allowing us to move away from narrowly applicable parametric techniques based on restrictive assumptions to much more flexible and realistic models and methods. These computational advances have also led to the extensive use of simulation and Monte Carlo techniques in statistical inference. All of these developments have, in turn, stimulated new research in theoretical statistics. This volume provides an up-to-date overview of recent advances in statistical modeling and inference. Written by renowned researchers from across the world, it discusses flexible models, semi-parametric methods and transformation models, nonparametric regression and mixture models, survival and reliability analysis, and re-sampling techniques. With its coverage of methodology and theory as well as applications, the book is an essential reference for researchers, graduate students, and practitioners.
Author | : Qi Li |
Publisher | : Emerald Group Publishing |
Total Pages | : 570 |
Release | : 2009-12-04 |
Genre | : Business & Economics |
ISBN | : 1849506248 |
Download Nonparametric Econometric Methods Book in PDF, ePub and Kindle
Contains a selection of papers presented initially at the 7th Annual Advances in Econometrics Conference held on the LSU campus in Baton Rouge, Louisiana during November 14-16, 2008. This work is suitable for those who wish to familiarize themselves with nonparametric methodology.
Author | : Daniel Peña |
Publisher | : John Wiley & Sons |
Total Pages | : 494 |
Release | : 2011-01-25 |
Genre | : Mathematics |
ISBN | : 1118031229 |
Download A Course in Time Series Analysis Book in PDF, ePub and Kindle
New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. It brings together material previously available only in the professional literature and presents a unified view of the most advanced procedures available for time series model building. The authors begin with basic concepts in univariate time series, providing an up-to-date presentation of ARIMA models, including the Kalman filter, outlier analysis, automatic methods for building ARIMA models, and signal extraction. They then move on to advanced topics, focusing on heteroscedastic models, nonlinear time series models, Bayesian time series analysis, nonparametric time series analysis, and neural networks. Multivariate time series coverage includes presentations on vector ARMA models, cointegration, and multivariate linear systems. Special features include: Contributions from eleven of the worldâ??s leading figures in time series Shared balance between theory and application Exercise series sets Many real data examples Consistent style and clear, common notation in all contributions 60 helpful graphs and tables Requiring no previous knowledge of the subject, A Course in Time Series Analysis is an important reference and a highly useful resource for researchers and practitioners in statistics, economics, business, engineering, and environmental analysis. An Instructor's Manual presenting detailed solutions to all the problems in he book is available upon request from the Wiley editorial department.