Weak Convergence of the Log Likelihood Process in the Two-phase Linear Regression Problem PDF Download
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Author: P. K. Bhattacharya
Publisher:
ISBN:
Category :
Languages : en
Pages : 20
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Author: P. K. Bhattacharya
Publisher:
ISBN:
Category :
Languages : en
Pages : 20
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Book Description
Author: David Luther Sylwester
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 172
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Author: Edward G. Carlstein
Publisher: IMS
ISBN: 9780940600348
Category : Mathematics
Languages : en
Pages : 400
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Book Description
Author: Francisco J Samaniego
Publisher: World Scientific
ISBN: 9814458171
Category : Mathematics
Languages : en
Pages : 479
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Book Description
This volume consists of 22 research papers by leading researchers in Probability and Statistics. Many of the papers are focused on themes that Professor Bhattacharya has published on research. Topics of special interest include nonparametric inference, nonparametric curve fitting, linear model theory, Bayesian nonparametrics, change point problems, time series analysis and asymptotic theory.This volume presents state-of-the-art research in statistical theory, with an emphasis on nonparametric inference, linear model theory, time series analysis and asymptotic theory. It will serve as a valuable reference to the statistics research community as well as to practitioners who utilize methodology in these areas of emphasis.
Author: North-Holland Publishing Company
Publisher:
ISBN:
Category :
Languages : en
Pages : 812
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Author: Indian Statistical Association
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 332
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Author: T. L. Lai
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 560
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Book Description
Presents a collection of 18 papers, many of which are surveys, on asymptotic theory in probability and statistics, with applications to a variety of problems. This volume comprises three parts: limit theorems, statistics and applications, and mathematical finance and insurance. It is suitable for graduate students in probability and statistics.
Author: Clive Loader
Publisher: Springer Science & Business Media
ISBN: 0387227326
Category : Mathematics
Languages : en
Pages : 290
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Book Description
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:
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 752
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Author:
Publisher:
ISBN:
Category : Electronic journals
Languages : en
Pages : 898
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