Download Advanced Statistics from an Elementary Point of View by Michael J. Panik PDF

By Michael J. Panik

The hugely readable textual content captures the flavour of a path in mathematical facts with out implementing an excessive amount of rigor; scholars can pay attention to the statistical ideas with out getting misplaced within the idea.
scholars who use this e-book may be good on their strategy to considering like a statistician. practising statisticians will locate this e-book worthwhile in that it truly is replete with statistical attempt methods (both parametric and non-parametric) in addition to a number of specified examples.

· entire insurance of descriptive statistics
· extra targeted remedy of univariate and
bivariate likelihood distributions
· Thorough assurance of likelihood thought with
a number of occasion classifications

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Extra resources for Advanced Statistics from an Elementary Point of View

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3 31 Quantitative Summary Characteristics and the hth moment about the mean is k vh = fj (Xj − µ)h j=1 N , h = 1, 2, 3 . . 1) where k represents the number of different (net of duplication) values of X. The hth standard moment is again σvhh , h = 1, 2, 3, . . 5 Skewness and Kurtosis An absolute frequency distribution is said to be skewed if it lacks symmetry; kurtosis refers to how flat or sharp the peak of the absolute frequency distribution happens to be. In particular, measures of skewness and kurtosis are shape parameters and essentially reflect departures from normality.

29) Rank Correlation between Variables X and Y We noted in the preceding section that the Pearson correlation coefficient ρXY serves as an index of linear association between two variables X and Y; that is, it measures the strength of the linear relationship between X and Y. Although the observations on X and Y used to determine ρXY are numerical scores measured on an interval or ratio scale, it may be the case that the X and Y values are ordinal in nature and thus represent numerical values that depict ranks.

3 Given the preceding data set involving N = 30 observations, first-level Winsorization replaces 2 and 55 by 15 and 39, respectively. Secondlevel Winsorization replaces 2 and 15 by 21 and 39 and 55 by 30. 3. 4 Moments The hth moment about the origin is represented as N mh = i=1 Xih N h = 1, 2, 3, . . 9) Moreover, the hth moment about the mean or the hth central moment is N vh = (Xi − µ)h i=1 N , h = 1, 2, 3, . . 10) And if Zi = (Xi − µ)/σ , i = 1, . . , N, then the hth standard moment is N ah = i=1 N Zih N = i=1 Xi −µ σ N h = vh , σh h = 1, 2, 3, .

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