Nonparametric Estimation Of A Regression Function By Means Of Concomitants Of Order Statistics PDF Download
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Author | : Gordon Johnston |
Publisher | : |
Total Pages | : 12 |
Release | : 1979 |
Genre | : Nonparametric statistics |
ISBN | : |
Download Nonparametric Estimation of a regression function by means of concomitants of order statistics Book in PDF, ePub and Kindle
Author | : Gordon Johnston |
Publisher | : |
Total Pages | : 16 |
Release | : 1979 |
Genre | : |
ISBN | : |
Download Nonparametric Regression Based on the Concomitants of Order Statistics Book in PDF, ePub and Kindle
The properties of nonparametric regression function estimates based on the concomitants of order statistics are investigated.
Author | : László Györfi |
Publisher | : Springer Science & Business Media |
Total Pages | : 662 |
Release | : 2006-04-18 |
Genre | : Mathematics |
ISBN | : 0387224424 |
Download A Distribution-Free Theory of Nonparametric Regression Book in PDF, ePub and Kindle
This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates. The emphasis is on distribution-free properties of the estimates.
Author | : Ronald Carlton Pruitt |
Publisher | : |
Total Pages | : 212 |
Release | : 1987 |
Genre | : |
ISBN | : |
Download Nonparametric Estimation of Autoregression and Multiple Regression Parameters Book in PDF, ePub and Kindle
Author | : Yadolah Dodge |
Publisher | : Birkhäuser |
Total Pages | : 447 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 3034882017 |
Download Statistical Data Analysis Based on the L1-Norm and Related Methods Book in PDF, ePub and Kindle
This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on the L1-Norm and Related Methods, held in Neuchâtel, Switzerland, from August 4–9, 2002. The contributions represent clear evidence to the importance of the development of theory, methods and applications related to the statistical data analysis based on the L1-norm.
Author | : |
Publisher | : |
Total Pages | : 1800 |
Release | : 2006 |
Genre | : Statistics |
ISBN | : |
Download Journal of the American Statistical Association Book in PDF, ePub and Kindle
Author | : R. M. Royall |
Publisher | : |
Total Pages | : 164 |
Release | : 1966 |
Genre | : Mathematical statistics |
ISBN | : |
Download A Class of Non-parametric Estimates of a Smooth Regression Function Book in PDF, ePub and Kindle
The purpose of the paper is to develop methods for estimating regression functions (i.e., conditional expectations) when nothing is known or assumed about their underlying functional form. The approach is 'non-parametric' in the sense that the regression function itself, rather than a set of numerical parameters, is estimated. The methods given make use of certain rank order statistics and thereby avoid problems of scaling which are troublesome when less sophisticated non-parametric methods are used. The large sample performance of the proposed regression estimators is studied in detail and methods for obtaining high orders of asymptotic efficiency are given. The asymptotic (normal) distribution of the estimates is obtained and the related problem of prediction is discussed. (Author).
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.
Author | : David Brian Holiday |
Publisher | : |
Total Pages | : 176 |
Release | : 1986 |
Genre | : Estimation theory |
ISBN | : |
Download On Nonparametric Regression Estimation in a Correlated-errors Model Book in PDF, ePub and Kindle
Author | : P. R. Krishnaiah |
Publisher | : Elsevier Health Sciences |
Total Pages | : 1016 |
Release | : 1984 |
Genre | : Mathematics |
ISBN | : |
Download Nonparametric Methods Book in PDF, ePub and Kindle
Classical developments. Linear models. Order statistics and empitical distribution. Estimation procedures. Stochastic aproximation and density estimation. Life testing and reliability. Miscellaneous topics. Applications. Tables.