β Scribed by Le Cam, Lucien; Lo Yang, Grace
No coin nor oath required. For personal study only.
by Sara van de Geer. Also, we did not include material due to David Donoho, lain Johnstone, and their school. We found ourΒ selves unprepared to write a distillate of the material. We did touch briefly on "nonparametrics," but not on "semiparametΒ rics." This is because we feel that the semiparametric situation has not yet been properly structured. We hope that the reader will find this book interesting and challenging, in spite of its shortcomings. The material was typed in LaTeX form by the authors themΒ selves, borrowing liberally from the 1990 script by Chris Bush. It was reviewed anonymously by distinguished colleagues. We thank them for their kind encouragement. Very special thanks are due to Professor David Pollard who took time out of a busy schedule to give us a long list of suggestions. We did not follow them all, but we at least made attempts. We wish also to thank the staff of Springer-Verlag for their help, in particular editor John Kimmel, who tried to make us work with all deliberate speed. Thanks are due to Paul Smith, Te-Ching Chen and Ju-Yi-Yen, who helped with the last-minute editorial corrections.
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Principal Component Analysis Is Probably The Oldest And Best Known Of The It Was First Introduced By Pearson (1901), Techniques Ofmultivariate Analysis. And Developed Independently By Hotelling (1933). Like Many Multivariate Methods, It Was Not Widely Used Until The Advent Of Electronic Computers, B