Titlebook: Regression; Models, Methods and Ludwig Fahrmeir,Thomas Kneib,Brian Marx Textbook 20131st edition Springer-Verlag Berlin Heidelberg 2013 ge

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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)公開度




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




書目名稱Regression被引頻次




書目名稱Regression被引頻次學(xué)科排名




書目名稱Regression年度引用




書目名稱Regression年度引用學(xué)科排名




書目名稱Regression讀者反饋




書目名稱Regression讀者反饋學(xué)科排名

迫擊炮

The Classical Linear Model,The following two chapters will focus on the theory and application of ., which play a major role in statistics. We already studied some examples in Sect. .. In addition to the direct application of linear regression models, they are also the basis of a variety of more complex regression methods.

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灰心喪氣

PURG

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https://doi.org/10.1007/978-3-642-34333-9generalized linear models; linear regression; mixed models; semiparametric regression; spatial regressio

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RACE

Nonparametric Regression,n several practical applications that a purely linear model is not always sufficient. This insufficiency could either result from theoretical considerations about the given application or simply from uncertainty about the specific form of an effect that a covariate has on the response.

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Textbook 20131st editionIt is written on an intermediate mathematical level and assumes only knowledge of basic probability, 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.