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Martingale: In the gambling context the term at first referred to a system for recouping losses by doubling the stake after each loss has occured. The modern mathematical concept can also be seen in such terms as the mathematical formalization of the concept of a 'fair' game defined as one in which the expected size of the gambler's bank after nth game given the results of all earlier games is unchanged from the size after the (n- 1)th game, that is the gambler's average gain or loss after each game, given the earlier history of the games is zero. More formally the term refers to the stochastic process, or a series of random variables S1; S2; . . ., which is such the expected value of the ðn þ 1Þth random variable conditional on values of the first n, equals to the value of the nth random variable which can be given as so that E(Sn) does not depend on the value of n.
wat iz z difference b/n logistic regression and multiple regression analysis /
Johnson''s Job Sequencing for n jobs and 2 machines
Chernoff's faces : A method or technique for representing the multivariate data graphically. Each observation is represented by the computer-created face, the features of which are
Hurdle Model: The model for count data which postulates two processes, one generating the zeros in the data and one generating positive values. The binomial model decides the bina
Component bar chart : A bar chart which shows the component parts of the aggregate represented by the whole length of the bar. The component parts are shown as the sectors of bar w
This is the powerful visualization tool for studying how the response relies on an explanatory variable given the values of other explanatory variables. The plot comprises of a num
The Null Hypothesis - H0: β 1 = 0 i.e. there is homoscedasticity errors and no heteroscedasticity exists The Alternative Hypothesis - H1: β 1 ≠ 0 i.e. there is no homoscedasti
A subject who withdraws from the study for whatever reason, adverse side effects, noncompliance, moving away from the district, etc. In number of cases the reason may not be known.
Please help with following problem: : Let’s consider the logistic regression model, which we will refer to as Model 1, given by log(pi / [1-pi]) = 0.25 + 0.32*X1 + 0.70*X2 + 0.
Generalized method of moments (gmm) is the estimation method popular in econometrics which generalizes the method of the moments estimator. Essentially same as what is known as the
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