Titlebook: Bootstrap Methods; With Applications in Gerhard Dikta,Marsel Scheer Textbook 2021 Springer Nature Switzerland AG 2021 Bootstrap based tests

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書目名稱Bootstrap Methods影響因子(影響力)




書目名稱Bootstrap Methods影響因子(影響力)學(xué)科排名




書目名稱Bootstrap Methods網(wǎng)絡(luò)公開度




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




書目名稱Bootstrap Methods被引頻次




書目名稱Bootstrap Methods被引頻次學(xué)科排名




書目名稱Bootstrap Methods年度引用




書目名稱Bootstrap Methods年度引用學(xué)科排名




書目名稱Bootstrap Methods讀者反饋




書目名稱Bootstrap Methods讀者反饋學(xué)科排名

柔聲地說

The Classical Bootstrap,f the classical bootstrap approximation as first published simultaneously by Bickel and Freedman (.) and Singh (.). The methods of proof in these two papers are different and we follow mainly the work of Singh (.) here. However, in Sect. ., we will go into more detail about a proof concept applied i

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Regression Analysis, This is the general context of regression analysis. There are different reasons why such a question might be of interest. For instance, a scientist could be interested in understanding the mechanics behind insulin level, i.e., which factor influences the insulin level and how? Other scientists may

損壞

Goodness-of-Fit Test for Generalized Linear Models, established a general approach for GOF tests which is based on a marked empirical process (MEP), a standardized cumulative sum process obtained from the observed residuals. Resting upon the asymptotic limiting process of the MEP under the null hypothesis, Kolmogorov-Smirnov or Cramér-von Mises type

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The Single Facility Ordered Median Problemdiscuss some commonly used procedures and their application under R. Since most of the widely used distributions are implemented in R, random variables according to these distributions can easily be generated directly in R through the corresponding built-in R functions. In the first section of this

石墨

https://doi.org/10.1007/3-540-27640-8f the classical bootstrap approximation as first published simultaneously by Bickel and Freedman (.) and Singh (.). The methods of proof in these two papers are different and we follow mainly the work of Singh (.) here. However, in Sect. ., we will go into more detail about a proof concept applied i

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