No Inv.: 1295-1297/S/Perp/91/3c
This book honours the outstanding contributions of Vladimir Vapnik, a rare example of a scientist for whom the following statements hold true simultaneously: his work led to the inception of a new field of research, the theory of statistical learning and empirical inference; he has lived to see the field blossom; and he is still as active as ever. He started analyzing learning algorithms in the…
Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a wide range of uses for the models by applied researchers in those and other fields by providing stat…
No Inv.: 78703-78707/01/5c
No Inv.: 85431/P/Perp/FMIPA/03/1c
Bibliografi : hlm. 178 No Inv.: 135610/SM/Perp/13/1c
Bibliografi : hlm. 155; No Inv.: 137898-137902/P/Perp/14/5c
Bibliografi : hlm. 253-254
No Inv.: 873-882/P/Perp/94/10c~313/S/Perp/94/1c~954-963/P/Perp/96/10c
Bibliografi : hlm. 355-367