𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Hypothesis testing in semiparametric additive mixed models

✍ Scribed by Zhang D., Lin X.


Year
2003
Tongue
English
Leaves
18
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Parameter Estimation and Hypothesis Test
✍ Prof. Dr.-Ing., Dr.-Ing. E. h. Karl-Rudolf Koch (auth.) πŸ“‚ Library πŸ“… 1999 πŸ› Springer-Verlag Berlin Heidelberg 🌐 English

<p>The necessity to publish the second edition of this book arose when its third German edition had just been published. This second English edition is thereΒ­ fore a translation of the third German edition of Parameter Estimation and Hypothesis Testing in Linear Models, published in 1997. It differs

Disturbances in the linear model, estima
✍ C. Dubbelman (auth.) πŸ“‚ Library πŸ“… 1979 πŸ› Springer US 🌐 English

<p>1. 1. The general linear model All econometric research is based on a set of numerical data relating to certain economic quantities, and makes inferΒ­ ences from the data about the ways in which these quantiΒ­ ties are related (Malinvaud 1970, p. 3). The linear relation is frequently encountered in

Hypothesis Testing and Model Selection i
✍ David L. Weakliem PhD πŸ“‚ Library πŸ“… 2016 πŸ› The Guilford Press 🌐 English

<div>Examining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated with real-world social science examples. It systematically compares classical (frequentist) and Bayesian approaches, showing how they are

Estimation in Semiparametric Models: Som
✍ Johann Pfanzagl (auth.) πŸ“‚ Library πŸ“… 1990 πŸ› Springer-Verlag New York 🌐 English

<p>Assume one has to estimate the mean J x P( dx) (or the median of P, or any other functional t;;(P)) on the basis ofi.i.d. observations from P. Ifnothing is known about P, then the sample mean is certainly the best estimator one can think of. If P is known to be the member of a certain parametric

Estimation in Semiparametric Models: Som
✍ Johann Pfanzagl πŸ“‚ Library πŸ“… 1990 πŸ› Springer 🌐 English

Assume one has to estimate the mean J x P( dx) (or the median of P, or any other functional t;;(P)) on the basis ofi.i.d. observations from P. Ifnothing is known about P, then the sample mean is certainly the best estimator one can think of. If P is known to be the member of a certain parametric fam