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Admissibility
A very common concept which is applicable to any procedure of the statistical inference. The underlying notion is that the procedure/method is admissible if and only if there does not exist within that particular class of the procedures another one which performs uniformly at least as well as the procedure in question and performs much better than it in at least one case. Here 'uniformly' means for all values of the parameters which decide the probability distribution of the random variables under the investigation.
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Types of business forecasting are generally as follows: 1. Sales and Demand forecasts 2. Porduction forecasts. 3. Cost Forecasts 4. Financi
Theories of Business forecasting
Cluster Sampling This method is also known as multi stage sampling .Under this method random selection is made of the ultimate or final units from a given stratum. The sampling
Exercise: (Binomial and Continuous Model.) Consider a binomial model of a risky asset with the parameters r = 0:06, u = 0:059, d = 0:0562, S0 = 100, T = 1, 4t = 1=12. Note that u
Estimate a linear probability model: Consider the multiple regression model: y = β 0 +β 1 x 1 +.....+β k x k +u Suppose that assumptions MLR.1-MLR4 hold, but not assump
acccpt
In PCA the eigknvalues must ultimately account for all of the variance. There is no probability,'no hypothesis, no test because strictly speaking PCA is not a statistical procedure
Agency revenues. An economic consultant was retained by a large employment agency in a metropolitan area to develop a regression model for predicting monthly agency revenues ( y ).
how detect sources of error in sample survey
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