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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.
Measurement of trend , least square method
Your company operates a machine shop, and, having heard you had experience in statistics and design of experiments, consulted you for your opinion on an experiment they want to run
Determine the Effects of Stopping Smoking On Weight Gain As part of a study to determine the effects of stopping smoking on weight gain, nine females were weighed on the day t
PROPERTIES 1. The value of standard deviation remains the same if, in a series each of the observation is increased or decreased by a constant quantity. In statistical lan
Median Median is a position average. It is the value of middle item of a variable when the items are arranged according to their values either in ascending or descending order.
In the context of multivariate data analysis, one might be faced with a large number of v&iables that are correlated with each other, eventually acting as proxy of each other. This
Simple Linear Regression While correlation analysis determines the degree to which the variables are related, regression analysis develops the relationship between the var
How can we analyse data with four bilateral response variables measured with errors and three covariated measured without errors?
Statistical Process Control The variability present in manufacturing process can either be eliminated completely or minimized to the extent possible. Eliminating the variabilit
Statistical Keys To do statistical operations we must first set the calculator on SD mode [SD stands for "standard deviation" which is the usual st
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