Titlebook: Maximum Penalized Likelihood Estimation; Volume I: Density Es P. P. B. Eggermont,V. N. LaRiccia Book 2001 Springer Science+Business Media,

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P. P. B. Eggermont,V. N. LaRiccia and can be updated any time, provided a suited research project. Our special thanks go to Jörn Schmidt from the former Center for Interdisciplinary Research in Higher Education at our University, whose constan978-94-007-8704-9978-1-4020-5464-8Series ISSN 0921-3384 Series E-ISSN 2352-2119

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P. P. B. Eggermont,V. N. LaRiccia and can be updated any time, provided a suited research project. Our special thanks go to Jörn Schmidt from the former Center for Interdisciplinary Research in Higher Education at our University, whose constan978-94-007-8704-9978-1-4020-5464-8Series ISSN 0921-3384 Series E-ISSN 2352-2119

敲竹杠

P. P. B. Eggermont,V. N. LaRicciatober 2004 Josef B¨ ohm Tatiana V. Guy Ladislav Jirsa Ivan Nagy Petr Nedoma Ludv´ ?k Tesa? r Contents 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .978-1-4471-5675-8978-1-84628-254-6Series ISSN 1610-3947 Series E-ISSN 2197-8441

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Maximum Penalized Likelihood Estimation978-1-0716-1244-6Series ISSN 0172-7397 Series E-ISSN 2197-568X

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Parametric and Nonparametric Estimation,This text is concerned with statistical estimation, in particular, with the estimation of probability densities of random variables.