By Bruce Ratner
This specialist compilation grants a suite of winning database advertising and marketing methodologies for giant info. It deals options to universal difficulties within the database advertising undefined, concentrating on the desires of information analysts and information miners. The quantitative innovations defined marry conventional statistical methodologies with new laptop studying tools. The e-book examines 3 options in version overview: conventional decile research; precision; and separability. It additionally explores state of the art concepts, together with genetic clever hybrid types. through following the step by step strategies distinctive within the textual content, database advertising execs can the right way to observe the right kind statistical strategies to any database advertising challenge.
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Extra resources for Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data
Going down-ladder of powers means re-expressing a variable by raising it to a power p that is less than 1. The most common p values are 1/2 , 0, – 1/2 and –1. 33 are used. , is multiplied by –1), for which the reason is theoretical and beyond the scope of this chapter. Accordingly, starting at p = 1, the data analyst goes down-ladder, resulting in re-expressed variables, for X and Y, as follows: Starting at X1: ; ; − ; ² ²; −… Starting at Y1: < < − < ² ²< −… Some re-expressed variables down-ladder have special names.
A dummy variable (X_dum) — a variable that assumes two numerical values, typically 1 and 0, which indicate the presence and absence of a condition, respectively — is structure. For example, X_dum = 1 if X equals 6; X_dum = 0 if X does not equal 6. 1 Fitted Logit Plot The ﬁtted logit plot is a valuable visual aid in uncovering and conﬁrming structure. The ﬁtted logit plot is deﬁned as a plot of the predicted logit against a given structure. The steps required to construct the plot and its interpretation are: 1.
The concept of degrees of freedom gives a deceptive impression of simplicity in counting the pieces of information. However, the principles used in counting are not easy, for all but the mathematical statistician. To date, there is no generalized calculus for counting degrees of freedom. Fortunately, the counting already exists for many analytical routines. Therefore, the correct degrees of freedom are readily available; computer output automatically provides them, and there are lookup tables in older statistics textbooks.
Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data by Bruce Ratner