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標題: Titlebook: Metzler Lexikon Theatertheorie; Erika Fischer-Lichte (Professorin),Doris Kolesch ( Book 20051st edition Springer-Verlag Berlin Heidelberg [打印本頁]

作者: Deleterious    時間: 2025-3-21 16:33
書目名稱Metzler Lexikon Theatertheorie影響因子(影響力)




書目名稱Metzler Lexikon Theatertheorie影響因子(影響力)學(xué)科排名




書目名稱Metzler Lexikon Theatertheorie網(wǎng)絡(luò)公開度




書目名稱Metzler Lexikon Theatertheorie網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Metzler Lexikon Theatertheorie被引頻次




書目名稱Metzler Lexikon Theatertheorie被引頻次學(xué)科排名




書目名稱Metzler Lexikon Theatertheorie年度引用




書目名稱Metzler Lexikon Theatertheorie年度引用學(xué)科排名




書目名稱Metzler Lexikon Theatertheorie讀者反饋




書目名稱Metzler Lexikon Theatertheorie讀者反饋學(xué)科排名





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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.
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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
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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
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Barbara Gronau,Alexander Kuba,Doris Kolesch,Sabine Schouten,Erika Fischer-Lichte,Sandra Umathum
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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
Jens Roselt,Erika Fischer-Lichte,Jenny Schr?dl,Patrick Primavesi,Willmar Sauter,Erika Fischer -Lichtixed 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: palliative-care    時間: 2025-3-24 19:39
Peter W. Marx,Friedemann Kreuder,Doris Kolesch,Jenny Schr?dl,Friedemann Kreuder,Alexander Kubaixed 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: Glaci冰    時間: 2025-3-24 23:47
Barbara Gronauixed 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
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Florian Nelle,Friedemann Kreuder,Sabine Schouten,Hans-Christian von Herrmann,Brigitte Schultze,Theo ixed 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: Obsequious    時間: 2025-3-25 21:51
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
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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
Jens Roselt,Ulrike Ha?,Gabriele Brandstetterematics..The clear and concise exposition is supported by a .Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error.The subject is inherently two- or higher- dimensional, th
作者: 抗體    時間: 2025-3-26 18:29
Patrick Primavesi,Hajo Kurzenberger,Jens Roselt,Hans-Peter Bayerd?rfer,Christel Weilerematics..The clear and concise exposition is supported by a .Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error.The subject is inherently two- or higher- dimensional, th
作者: Occipital-Lobe    時間: 2025-3-26 22:16
Jens Roselt,Erika Fischer-Lichte,Jenny Schr?dl,Patrick Primavesi,Willmar Sauter,Erika Fischer -Lichtes, 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
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Barbara Gronaues, 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
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Theo Girshausen,Friedemann Kreuder,Willmar Sauter,Yvonne Hardtes, 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
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Florian Nelle,Friedemann Kreuder,Sabine Schouten,Hans-Christian von Herrmann,Brigitte Schultze,Theo es, 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
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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
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Bettina Brandi-Risi,Gabriele Brandstetter,Doris Kolesch,Christopher Balme,Andreas Kotte,Christopher closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown through numerous examples and case studies. The most important definitions and statements are concisely summarized in
作者: 纖細    時間: 2025-3-29 10:50
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
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Antonino Morassiputer scientists, engineers, physicists and applied mathematicians, both in industry and academia. It includes a strong bibliography on the subject and detailed index..978-3-642-09068-4978-3-540-71561-0Series ISSN 1860-949X Series E-ISSN 1860-9503
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