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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.
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
Log-linear models is the models for count data in which the logarithm of expected value of a count variable is modelled as the linear function of parameters; the latter represent
The objective of this assignment is to test your understanding in the learning outcome (LO2) and learning outcome (LO3) and learning outcome (LO4). 1) This is a grouped assignme
The scatter plot of SRES1 versus totexp demonstrates that there is non-linear relationship that exists as most of the points are below and above zero. The scatter plot show that th
The alternative process to make use of the chi-squared statistic for assessing the independence of the two variables forming a two-by-two contingency table particularly when expect
we are testing : Ho: µ=40 versus Ha: µ>40 (a= 0.01) Suppose that the test statistic is z0=2.75 based on a sample size of n=25. Assume that data are normal with mean mu and standa
historigrams and histogram
MEANING ,IMPORTANCE AND RELEAVANCE OF SCATTER DIAGRAM
This term sometimes is applied to the model for explaining the differences found between naturally happening groups which are greater than those observed on some previous occasion;
Kalman filter : A recursive procedure which gives an estimate of the signal when only the 'noisy signal' can be observed. The estimate is efficiently constructed by putting the exp
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