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Partially Linear Models of Parameter Estimation by Hardle, Liang, Gao. is a nonfiction available to read on EtoBox.

What is Partially Linear Models of Parameter Estimation about?

Background, History and Practical Examples......Page 9 The Least Squares Estimators......Page 20 Assumptions and Remarks......Page 22 The Scope of the Monograph......Page 24 The Structure of the Monograph......Page 25 Introduction......Page 27 Estimation of the Non-constant Variance Functions......Page 30 Selection of Smoothing Parameters......Page 34 Simulation Comparisons......Page 35 Technical Details......Page 36 Synthetic Data and Statement of the Main Results......Page 41 A Numerical Example......Page 45 Technical Details......Page 46 Introduction......Page 49 Bootstrap Approximations......Page 50 Numerical Results......Page 51 Introduction......Page 53 Consistency Results......Page 54 Asymptotic Normality......Page 57 Simulated and Real Examples......Page 58 Appendix......Page 61 Introduction and Motivation......Page 63 Asymptotic Normality for the Parameters......Page 64 Estimation of Error Variance......Page 66 Numerical Example......Page 67 Technical Details......Page 69 Introduction......Page 73 Construction of Estimators......Page 74 Asymptotic Normality......Page 75 Simulation Investigations......Page 76 Technical Details......Page 78 Introduction......Page 85 Prelimin

Who reads Partially Linear Models of Parameter Estimation?

Author

Hardle, Liang, Gao.

Published

2000

Language

EN

Category

nonfiction

Subjects

Mathematics, Probability, Stem