By Susan Orlean
He believed the puppy was once immortal. So starts Susan Orlean’s sweeping, powerfully relocating account of Rin Tin Tin’s trip from deserted dog to celeb and overseas icon. Spanning nearly 100 years of historical past, from the dog’s unbelievable discovery on a battlefield in 1918 to his tumultuous upward thrust via Hollywood and past, Rin Tin Tin is a love tale approximately "the mutual devotion among one guy and one dog" (The Wall road Journal) that also is a quintessentially American tale of reinvention, a charming exploration of our religious bond with animals, and a stirring meditation on mortality and immortality.
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Extra resources for Rin Tin Tin: The Life and the Legend
Sample text
Interpreting an MDS space, therefore, involves data-guided speculations about the psychology of those who generated the similarity data. Testing the validity of the conclusions is left to further studies. 4 MDS as a Model of Similarity Judgments Finally, the mathematics of MDS can serve as a model of similarity judgments. The most common approach is to hypothesize that a person, when asked about the dissimilarity of pairs of objects from a set of objects, acts as if he or she computes a distance in his or her “psychological space” of these objects.
The notion of straightness, therefore, presupposes a distance measure. With different distance measures, straight lines often do not look straight at all.
If so, explain why. 3 MDS Models and Measures of Fit MDS models are defined by specifying how given similarity or dissimilarity data, the proximities pij , are mapped into distances of an m-dimensional MDS configuration X. The mapping is given by a representation function f (pij ) that specifies how the proximities should be related to the distances dij (X). In practice, one usually does not attempt to strictly satisfy f . Rather, what is sought is a configuration (in a given dimensionality) whose distances satisfy f as closely as possible.
