Lp-norm Consistencies of Nonparametric Estimates of Regression, Heteroskedasticity and Variance of Regression Estimate when Distribution of Regressor is Known PDF Download

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Lp-norm Consistencies of Nonparametric Estimates of Regression, Heteroskedasticity and Variance of Regression Estimate when Distribution of Regressor is Known

Lp-norm Consistencies of Nonparametric Estimates of Regression, Heteroskedasticity and Variance of Regression Estimate when Distribution of Regressor is Known PDF Author: Radhey S. Singh
Publisher:
ISBN:
Category : Econometric models
Languages : en
Pages : 30

Book Description

Lp-norm Consistencies of Nonparametric Estimates of Regression, Heteroskedasticity and Variance of Regression Estimate when Distribution of Regressor is Known

Lp-norm Consistencies of Nonparametric Estimates of Regression, Heteroskedasticity and Variance of Regression Estimate when Distribution of Regressor is Known PDF Author: Radhey S. Singh
Publisher:
ISBN:
Category : Econometric models
Languages : en
Pages : 30

Book Description

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The Exact Powers of Some Autocorrelation Tests when Relevant Regressors are Omitted PDF Author: John P. Small
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 32

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ISBN:
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ISBN: 9812834109
Category : Mathematics
Languages : en
Pages : 349

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"This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the techniques described in the book. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject area." --Book Jacket.

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Publisher: Cambridge University Press
ISBN: 9780521574464
Category : Business & Economics
Languages : en
Pages : 396

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This book examines the consequences of misspecifications for the interpretation of likelihood-based methods of statistical estimation and interference. The analysis concludes with an examination of methods by which the possibility of misspecification can be empirically investigated.

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Kernel Smoothing PDF Author: M.P. Wand
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Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. The basic principle is that local averaging or smoothing is performed with respect to a kernel function. This book provides uninitiated readers with a feeling for the principles, applications, and analysis of kernel smoothers. This is facilita

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The Handbook is a definitive reference source and teaching aid for econometricians. It examines models, estimation theory, data analysis and field applications in econometrics.
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