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The farther an individual observation is from the centroid of the predictors, the greater the potential of that case to change the outcome of the regression analysis We consider a measure of leverage, referred to as hii, which is commonly employed Distance or Discrepancy Measures of distance (discrepancy) are all based on the resid ual for a case (Yi Yi ) We focus on one of a number of these measures, the externally studentized residual (or studentized deleted residual) This measure has two characteristics First, it is a standardized residual that follows a t distribution (residual/standard deviation of residual) Second, it is based on a regression equation derived from an analysis in which the case in question has been deleted.

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The reason for the deletion of the case during computation of the regression model is that if the case is in the sample and if the case is unduly affecting the regression analysis, then the regression line (or regression plane) will be pulled toward the point In such cases, the residual will be small because the point is so in uential, even though the point may be grossly unrepresentative of the remainder of the sample In uence Measures of in uence assess the extent to which a single case determines the outcome of the regression analysis The measure DFFITS is a standardized measure (in z score form) of the difference in the predicted score for a case if the case is included in the analysis versus if the case is excluded from the analysis.

Finally, a series of measures, DFBETAS, one for each regression coef cient, are standardized measures of the change in each regression coef cient if the case is included.

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same species, and preferably, must be present in the genome in a single copy. Table 29.3 summarizes the endogenous reference control genes currently available.

I now understand the reason why all writers thank their families and friends for their patience and abnegation: all these books and documents open on the table, all this time spent in front of the computer, all this energy spent on this piece of paper, these so frequent moments thinking of the best gures that could be used to show a particular aspect, and so on May all of the people concerned have my real recognition for their continuous efforts More speci cally, I would like to thank the people who agreed to read the early versions of the book Their comments and suggestions have really improved the nal version in its legibility and pertinence Thanks to Anca Fluerasu, Muriel Muller, Serge Bourasseau, Nabil Jardak, Marc Jeannot, Jerome Legenne, Michel Nahon, and Per-Ludwig Normark.

Special thanks and much gratitude to Gerard Lachapelle who, in addition, agreed to write the foreword of this book and to Emmanuel Desurvire who answered my nther basic questions about writing such a book Also a great thank you to Gu Abwerzger, Jean-Pierre Barboux, and Alexandre Vervisch-Picois for the very interesting comments they provided This book also would not have been possible without the constant understanding of the people of the Navigation Group of the Electronics and Physics Department of the Institut National des Telecommunications (INT), France They have very often been obliged to carry on their activities alone I would also like to thank former colleagues, Marc Francois and Julien Caratori, who helped me, a few years ago, start the positioning-related activities at INT Also important are all the students who have enriched our re ections with their work and valuable exchanges thanks also to all of you.

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Last but not least, another special thank you to Dick Taylor, who made many corrections to the English of the book he is certainly the only person who will ever read the book twice!.