Titlebook: Nonparametric Smoothing and Lack-of-Fit Tests; Jeffrey D. Hart Book 1997 Springer Science+Business Media New York 1997 Calc.Mathematica.Sc

Conformist

書目名稱Nonparametric Smoothing and Lack-of-Fit Tests影響因子(影響力)




書目名稱Nonparametric Smoothing and Lack-of-Fit Tests影響因子(影響力)學(xué)科排名




書目名稱Nonparametric Smoothing and Lack-of-Fit Tests網(wǎng)絡(luò)公開度




書目名稱Nonparametric Smoothing and Lack-of-Fit Tests網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Nonparametric Smoothing and Lack-of-Fit Tests被引頻次




書目名稱Nonparametric Smoothing and Lack-of-Fit Tests被引頻次學(xué)科排名




書目名稱Nonparametric Smoothing and Lack-of-Fit Tests年度引用




書目名稱Nonparametric Smoothing and Lack-of-Fit Tests年度引用學(xué)科排名




書目名稱Nonparametric Smoothing and Lack-of-Fit Tests讀者反饋




書目名稱Nonparametric Smoothing and Lack-of-Fit Tests讀者反饋學(xué)科排名

panorama

dearth

Statistical Properties of Smoothers,sion function, it becomes important to understand their statistical properties. In this chapter we discuss issues such as mean squared error and sampling distribution of an estimator, and using smoothers to obtain confidence intervals for values of the regression function. We will consider two types

辭職

弓箭

Exuberance

Absenteeism

Data-Driven Lack-of-Fit Tests for General Parametric Models, case of a linear model, i.e., the case where . is hypothesized to be a linear combination of known functions. The fit of such models can be tested by applying the methods of Chapter 7 to residuals. It will be argued that test statistics generally have the same distributions they had in Chapter 7 .

誘導(dǎo)

深陷

SHOCK