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Contour plot: A topographical map drawn from data comprising observations on the three variables. One variable is represented on horizontal axis and the second variable is represented on the vertical axis. The third variable is represented by the isolines. These plots are many times helpful in data analysis, especially when the searching for maxima or minima in such type of data. The plots are most often taken in use to display the graphically bivariate distributions in which case the third variable is value of the probability density function corresponding to the values of the two variables. An alternative method or technique of displaying the same material is given by the perspective plot in which the values on third variable are represented by the series of lines constructed to give the three-dimensional view of data. The figure 43 drawn above gives examples of these plots using the birth and death rate data from the number of nations with a kernel density estimator used to calculate or measure the bivariate distribution.
Consider a decision faced by a cattle breeder. The breeder must decide how many cattle he should sell in the market each year and how many he should retain for breeding purposes. S
Prior distributions : The probability distributions which summarize the information about a random variable or parameter known or supposed at a given time instant, prior to attaini
1. define statistical algorithms 2. write the flow charts for statistical algorithms for sums, squares and products. 3. write flow charts for statistical algorithms to generates ra
The variables appearing on the right-hand side of equations defining, for instance, multiple regressions or the logistic regression, and which seek to predict or 'explain' response
Latin square is an experimental design targeted at removing from the experimental error the variation from two extraneous sources so that a more sensitive test of the treatment ef
Weighted least squares is the method of estimation in which the estimates arise from minimizing the weighted sum of squares of the differences between response variable and its pr
The method of displaying the geographical variability of the disease on maps using different colors, shading, etc. The logic is not new, but the arrival of computers and computer g
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
The problematic and enigmatic theory of an inference introduced by the Fisher, which extracts a probability distribution for the parameter on the basis of the data without having f
The nonparametric Bayesian inference approach to using the finite mixture distributions for modelling data suspected of the containing distinct groups of observations; this approac
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