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The graphical process most frequently used in the analysis of data from a two-by-two crossover design. For each of the subject the difference between the response variable values on each treatment are plotted against the sum of the two treatment standards. The two groups corresponding to the order in which the treatments were given are differentiated on the plot by the different plotting symbols. A huge shift between the groups in the horizontal direction signifies a differential carryover effect. If this shift is small enough, then the shift between the groups in the vertical direction is a measure of the treatment effect. An instance of this type of plot can be seen in the figure drawn below.
The Higher-order differences are defined by the repeated application. So, for instance, the second difference,
Often used in applications to achieve the stationarity prior to fitting models.
Particlefilters is a simulation method for tracking moving target distributions and for reducing computational burden of the dynamic Bayesian analysis. The method uses a Markov ch
Canonical correlation analysis : A process of analysis for investigating the relationship between the two groups of variables, by ?nding the linear functions of one of the sets of
The Null Hypothesis - H0: Model does not fit the data i.e. all slopes are equal to zero β 1 =β 2 =...=β k = 0 The Alternative Hypothesis - H1: Model does fit the data i.e. at
Bootstrap : The data-based simulation method/technique for the statistical inference which can be used to study the variability of the estimated characteristics of the probability
Post stratification adjustmen t: One of the most often used population weighting adjustments used in the complex surveys, in which weights for the elements in a class are multiplie
Half-normal plot is a plot for diagnosing the model inadequacy or revealing the presence of outliers, in which the absolute values of, for instance, the residuals from the multipl
Cluster randomization : The random allocation of the groups or clusters of the individuals in the formation of treatment groups.Eeven though not as statistically ef?cient as the in
The method or technique for producing the sequence of parameter estimates that, under the mild regularity conditions, converges to maximum likelihood estimator. Of particular signi
The values assigned to factors for the individual sample units in a factor analysis. The most common approach is "regression method". When the factors are seen as the random variab
wat iz z difference b/n logistic regression and multiple regression analysis /
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