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Book 20051st editionterungen zu Begriffen wie Aktion, Charakter, Illusion, Travestie und Zeit machen die Zusammenh?nge von Darstellung und Verk?rperung, Wahrnehmung und Erfahrung, Pr?senz und Repr?sentation transparent. Ein modernes Lexikon - kenntnisreich und richtungweisend.作者: 客觀 時間: 2025-3-23 00:35 作者: Paraplegia 時間: 2025-3-23 02:25
Jens Roselt,Ulrike Ha?,Gabriele Brandstetterrd year undergraduates studying .Statistics, Regression: Linear Models in Statistics. requires a basic knowledge of (one-dimensional) Statistics, as well as Probability and standard Linear Algebra. Possible com978-1-84882-968-8978-1-84882-969-5Series ISSN 1615-2085 Series E-ISSN 2197-4144 作者: 感染 時間: 2025-3-23 06:04 作者: 概觀 時間: 2025-3-23 09:45 作者: Encephalitis 時間: 2025-3-23 17:16
Friedemann Kreuder,Jens Roselt,Hans-Christian von Herrmann,Erika Fischer-Lichte,Sonja Galle,Clemens robability calculus and statistical inference..In this substantially revised and updated new edition the overview on regression models has been extended, and now includes the relation between regression models 978-3-662-63884-2978-3-662-63882-8作者: Bumble 時間: 2025-3-23 21:33 作者: 表主動 時間: 2025-3-23 23:43
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Doris Kolesch,Doris Kolesch,Andreas Kotteobability, calculus, and statistics. The most important definitions and statements are concisely summarized in boxes. Two appendices describe required matrix algebra, as well as elements of probability calculus and statistical inference.978-3-642-34333-9作者: paleolithic 時間: 2025-3-24 07:56
Stefan Hulfeld,Clemens Risiobability, calculus, and statistics. The most important definitions and statements are concisely summarized in boxes. Two appendices describe required matrix algebra, as well as elements of probability calculus and statistical inference.978-3-642-34333-9作者: 協(xié)議 時間: 2025-3-24 14:30
Erika Fischer-Lichte,Kai van Eikels,Annemarie M. Matzke,Isa Wortelkamp,Doris Koleschixed models, time series, spatial processes and design of experiments...Aimed at 2nd and 3rd year undergraduates studying .Statistics, Regression: Linear Models in Statistics. requires a basic knowledge of (one-dimensional) Statistics, as well as Probability and standard Linear Algebra. Possible com作者: 假設(shè) 時間: 2025-3-24 17:44
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Sandra Umathum,Erika Fischer-Lichte,Christel Weiler,Christopher Bohne,Doris Kolesch,Willmar Sauterische Umsetzung bei einer gr??eren Zahl von Einflussgr??en kaum noch handhabbar. Darüberhinaus ist durch die vorgegebene Menge zugelassener Transformationen die funktionale Form des Einflusses erneut relativ eingeschr?nkt und wenig flexibel. Ziel dieses Kapitels ist es daher, flexiblere Modellierung作者: 不幸的人 時間: 2025-3-26 04:06 作者: 嗎啡 時間: 2025-3-26 05:57 作者: LEVER 時間: 2025-3-26 11:50
Erika Fischer-Lichte,Kai van Eikels,Annemarie M. Matzke,Isa Wortelkamp,Doris Kolesches, together with a random error.The subject is inherently two- or higher- dimensional, thus an understanding of Statistics in one dimension is essential...Regression: Linear Models in Statistics. fills the gap between introductory statistical theory and more specialist sources of information. In do作者: lymphoma 時間: 2025-3-26 16:30
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Doris Kolesch,Doris Kolesch,Andreas Kotteten in textbook style suitable for students, the material isThe aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid作者: tendinitis 時間: 2025-3-28 10:58
Stefan Hulfeld,Clemens Risiten in textbook style suitable for students, the material isThe aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid作者: heterodox 時間: 2025-3-28 14:57 作者: gangrene 時間: 2025-3-28 21:02 作者: FAST 時間: 2025-3-29 00:12 作者: 落葉劑 時間: 2025-3-29 03:32
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Stefan Hulfeldplication, featuring examples and applications, and user-fri.Now in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric and semiparametric regression that closes the gap between theory and application. The most important models and methods in r作者: 種植,培養(yǎng) 時間: 2025-3-29 12:45 作者: 神圣將軍 時間: 2025-3-29 18:12
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