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Titlebook: Regression; Linear Models in Sta N. H. Bingham,John M. Fry Textbook 2010 Springer-Verlag London Limited 2010 ANOVA.Generalized linear model

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書目名稱Regression
副標(biāo)題Linear Models in Sta
編輯N. H. Bingham,John M. Fry
視頻videohttp://file.papertrans.cn/826/825503/825503.mp4
概述A self-contained, mathematical introduction to the development and theory of linear models aimed primarily at undergraduate students of mathematics..The clear and concise exposition is supported by a
叢書名稱Springer Undergraduate Mathematics Series
圖書封面Titlebook: Regression; Linear Models in Sta N. H. Bingham,John M. Fry Textbook 2010 Springer-Verlag London Limited 2010 ANOVA.Generalized linear model
描述.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, 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 doing so, it provides the reader with a number of worked examples, and exercises with full solutions...The book begins with simple linear regression (one predictor variable), and analysis of variance (ANOVA), and then further explores the area through inclusion of topics such as multiple linear regression (several predictor variables) and analysis of covariance (ANCOVA). The book concludes with special topics such as non-parametric regression and mixed 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
出版日期Textbook 2010
關(guān)鍵詞ANOVA; Generalized linear model; STATISTICA; Time series; analysis of covariance; analysis of variance; ge
版次1
doihttps://doi.org/10.1007/978-1-84882-969-5
isbn_softcover978-1-84882-968-8
isbn_ebook978-1-84882-969-5Series ISSN 1615-2085 Series E-ISSN 2197-4144
issn_series 1615-2085
copyrightSpringer-Verlag London Limited 2010
The information of publication is updating

書目名稱Regression影響因子(影響力)




書目名稱Regression影響因子(影響力)學(xué)科排名




書目名稱Regression網(wǎng)絡(luò)公開(kāi)度




書目名稱Regression網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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書目名稱Regression被引頻次學(xué)科排名




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focussing on specific applications. The implementations described are cutting-edge studies and exemplify how the physical and chemical properties of fluorescent proteins can stimulate novel findings in life sciences. .978-3-642-44682-5978-3-642-23377-7Series ISSN 1617-1306 Series E-ISSN 1865-1313
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N. H. Bingham,John M. Fryfocussing on specific applications. The implementations described are cutting-edge studies and exemplify how the physical and chemical properties of fluorescent proteins can stimulate novel findings in life sciences. .978-3-642-44682-5978-3-642-23377-7Series ISSN 1617-1306 Series E-ISSN 1865-1313
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N. H. Bingham,John M. Fryfocussing on specific applications. The implementations described are cutting-edge studies and exemplify how the physical and chemical properties of fluorescent proteins can stimulate novel findings in life sciences. .978-3-642-44682-5978-3-642-23377-7Series ISSN 1617-1306 Series E-ISSN 1865-1313
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N. H. Bingham,John M. Fryfocussing on specific applications. The implementations described are cutting-edge studies and exemplify how the physical and chemical properties of fluorescent proteins can stimulate novel findings in life sciences. .978-3-642-44682-5978-3-642-23377-7Series ISSN 1617-1306 Series E-ISSN 1865-1313
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N. H. Bingham,John M. Fryfocussing on specific applications. The implementations described are cutting-edge studies and exemplify how the physical and chemical properties of fluorescent proteins can stimulate novel findings in life sciences. .978-3-642-44682-5978-3-642-23377-7Series ISSN 1617-1306 Series E-ISSN 1865-1313
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N. H. Bingham,John M. Fryfocussing on specific applications. The implementations described are cutting-edge studies and exemplify how the physical and chemical properties of fluorescent proteins can stimulate novel findings in life sciences. .978-3-642-44682-5978-3-642-23377-7Series ISSN 1617-1306 Series E-ISSN 1865-1313
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