In this book an attempt has been made by proposing some inferential
techniques for linear regression models by using various types of
residuals other than OLS residuals.Chapter I contains the general
introduction about the concept of residuals in regression analysis.
Various types of residuals and their properties have been described
in chapter II. The literature on residual analysis and regression
diagnostics have been reviewed in chapter III. In particular, it is
discussed about examination of residual plots diagnostics for
identifying unusual data points, detection of influential subsets,
until applications of residuals. Chapter IV contains the proposed
methods under is the contributory one in which outliers are
detected; Leverage and influential points are identified;
Goldfeld-Quandt test statistics computed to know the
heteroscodastocity; Chow test statistic is computed to know the
structural change and Durbin-Waston test statistic is competed to
know the autocorrelation using different types of residuals.
General
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