Titlebook: Nonparametric Regression Analysis of Longitudinal Data; Hans-Georg Müller Book 1988 Springer-Verlag Berlin Heidelberg 1988 Estimator.Regre

使堅硬

Hans-Georg Müllermpt to provide an exhaustive review of prior studies of development of the cardiac specialized tissue. Rather we will attempt to provide an outline of embryogenesis which we hope will facilitate interpretation and aid comprehension of the subsequent contributions to this book.

不規(guī)則

Hans-Georg Müller a period of supernormal excitability. The present studies will describe attempts to correlate supernormal excitability in the Purkinje system of the dog with associated conduction phenomena in this tissue.

HAVOC

Hans-Georg Mülleryndrome and the effects of certain drugs upon conduction. Essentially, I will try to show how these five problems, apparently so dissimilar and heterogeneous, can be aligned together on behalf of the newly established relationship between automaticity and conduction.

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持久

Introduction,r regression models which are nonlinear in the parameters, an iterative numerical algorithm has to be employed in order to obtain the parameter estimates as solutions of the normal equations. This can lead to computational difficulties when we deal with sophisticated nonlinear models.

要素

Longitudinal Data and Regression Models,CG mainly poses classification and discrimination problems. The appropriate methods for time course data are regression or time series models. If samples of time courses are studied, a classical approach are socalled growth curves which basically consist of multivariate analysis of variance techniqu

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