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measure of variability, Advanced Statistics
what is measures of variability?
Posted Date: 12/2/2012 12:39:37 AM | Location : Pakistan
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Disclosure risk, The risk of being able to recognize the respondent's confi...
The risk of being able to recognize the respondent's confidential information in the data set. Number of approaches has been proposed to measure the disclosure risk some of which c
Reciprocal transformation, Reciprocal transformation is a transformation o...
Reciprocal transformation is a transformation of the form y =1/x, which is specifically useful for certain types of variables. Resistances, for instance, become conductances, and
Game theory, This is the branch of mathematics which deals with the theory ...
This is the branch of mathematics which deals with the theory of contests between two or more players under the specified sets of rules. The subject supposes a statistical aspect w
What is statistical inference, What is statistical inference? Statis...
What is statistical inference? Statistical inference can be defined as the method of drawing conclusions from data which are subject to random variations. This is based o
Define probability judgements, Probability judgements : Human beings often ...
Probability judgements : Human beings often require assessing the probability which some event will occur and accuracy of these probability judgements often determines success of o
Range, Range is the difference between the largest and smallest observatio...
Range is the difference between the largest and smallest observations in the data set. Commonly used as an easy-to-calculate measure of the dispersion in the set of observations b
Traditional linear model, What is a Generalized Linear Model? A traditional...
What is a Generalized Linear Model? A traditional linear model is of the form where Yi is the response variable for the ith observation, xi is a column vector of explanator
Leaps-and-bounds algorithm, Leaps-and-bounds algorithm is an algorithm whi...
Leaps-and-bounds algorithm is an algorithm which is used to ?nd the optimal solution in problems which might have a large number of possible solutions. Begins by dividing the poss
Log-linear models, Log-linear models is the models for count data in which...
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
To create a relative frequency histogram, The total amount of protein produ...
The total amount of protein produced by a dairy cow can be estimated from periodic testing of her milk. The following are the total annual protein production values (lb) for 28 tw
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