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Nuisance parameter: The parameter of the model in which there is no scienti?c interest but whose values are generally required (but in usual are unknown) to make inferences about those parameters which are of such type of interest. For instance, the aim might be to draw an inference m about the mean of the normal distribution when nothing certain is known about variance.
The likelihood for the mean, though, includes the variance, different values of which will lead to the different likelihood. To come over the problem, test statistics or the estimators for the parameters which are of interest are sought which do not rely on the unwanted parameter(s).
The nonparametric Bayesian inference approach to using the finite mixture distributions for modelling data suspected of the containing distinct groups of observations; this approac
Coefficient of concordance : The coef?cient is taken in use to assess the agreement among m raters ranking n individuals according to some of the speci?c characteristic. Which can
Ask questioThe finance manager of ‘Softy’ baby soap manufacturing company being successful in the first two years of the company’s operations is considering setting up another plan
Records on the computer manufacturing process at Pratt-Zungia Limited show that the percentage of defective computers sent to customers has been 5% over the last few years. Shipme
show all the ways in which 3 games of football can be concluded(it can be a win W,a loss L,or a draw X)
Projection pursuit is a procedure for attaning a low-dimensional (usually two-dimensional) representation of the multivariate data, which will be particularly useful in revealing
A theorem which shows that any counting process may be uniquely decomposed as the sum of a martingale and a predictable, right-continous process called the compensator, assuming ce
Hazard plotting is based on the hazard function of a distribution, this procedure gives estimates of distribution parameters, the proportion of units failing by the given time per
Locally weighted regression is the method of regression analysis in which the polynomials of degree one (linear) or two (quadratic) are used to approximate regression function in
I need help solving a problem using excel.
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