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Titlebook: R for Marketing Research and Analytics; Chris Chapman,Elea McDonnell Feit Textbook 2015 Springer International Publishing Switzerland 2015

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21#
發(fā)表于 2025-3-25 05:06:36 | 只看該作者
22#
發(fā)表于 2025-3-25 11:27:59 | 只看該作者
Chris Chapman,Elea McDonnell Feite of the metrological and signal-analytical chain: neuron as a signal source–sensor technology–signal amplification and conditioning–signal sampling and digitization–methods of biosignal processing–biostatistics and stochastic processes..The target groups.The book is suitable for medical technology
23#
發(fā)表于 2025-3-25 12:15:46 | 只看該作者
24#
發(fā)表于 2025-3-25 16:28:15 | 只看該作者
Chris Chapman,Elea McDonnell Feite is limited by the volt-second capability of this transformer. One of the major problems in tokamak research is the impurities that are found in the hot plasma, causing a large radiative power loss and the development of possibly catastrophic instabilities.
25#
發(fā)表于 2025-3-25 22:38:53 | 只看該作者
Chris Chapman,Elea McDonnell Feiten developed are also described in the following sections along with representative model predictions. Some of these models are described in more detail in a previous review (Gallimberti, 1979) which also gives an extensive list of references to previous work and lists the sources of physical data w
26#
發(fā)表于 2025-3-26 03:15:18 | 只看該作者
Textbook 2015ning Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis..With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to dev
27#
發(fā)表于 2025-3-26 06:20:11 | 只看該作者
Confirmatory Factor Analysis and Structural Equation Modeling
28#
發(fā)表于 2025-3-26 09:32:04 | 只看該作者
29#
發(fā)表于 2025-3-26 16:40:04 | 只看該作者
30#
發(fā)表于 2025-3-26 20:35:01 | 只看該作者
Describing Dataiation, and so forth) and visualization methods. Such investigation is the simplest analysis one can do yet also the most crucial. It is important to describe and explore any data set before moving on to more complex analysis. This chapter will build your R skills and provide a set of tools for expl
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