By Alistair Duncan
The London of the overdue 19th century was once domestic to either Arthur Conan Doyle and his well-known detective - Sherlock Holmes. This booklet seems at many of the many destinations in either relevant and outer London that experience connections to at least one or either one of those recognized names. as well as interpreting the historical past this e-book additionally seems to be at a number of the theories which were woven through the years round Holmes and those destinations.
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Extra info for Close to Holmes: A Look at the Connections Between Historical London, Sherlock Holmes and Sir Arthur Conan Doyle
Classif. 24, 71–98 (2007) The Semantic Role of Variability in the Development of Statistical Thought Paola Monari Abstract Since the birth of modern sciences, the development of statistical thought has run along the evolution of the semantic concept of variability. The variability of the natural and social phenomena was the true challenge that Galilean science has faced substituting the order of scientific laws to the apparent disorder of facts. Those laws tried to combine two objectives: the explanation of phenomena in a causal context, and the forecasting of unknown events.
36 P. Monari When the phenomena of interest for science are “statistical,” variability becomes the explanation key and acquires its own semantic meaning. A macro phenomenon is statistically stable because it is the result of many irregular micro phenomena. This means going beyond the single phenomenon and looking for a different perspective: the physical sciences shifted their attention to macro phenomena in a more agile and less absorbing way than life sciences and social sciences. The first epistemological consequence is that every semantic distinction between sample and population blurs when the sample is large enough to bring out the law; in the same way as, faced with a statistical statement, the distinction between validation and confutation blurs (Scardovi 1988, 1999).
Data Anal. : The analysis of dependence for three ways contingency tables with ordinal variables: a case study of patient satisfaction data. J. Appl. Stat. : PLS path modeling. Comput. Stat. Data Anal. : Factorial and reduced K-means reconsidered. Comput. Stat. Data Anal. : The Nature of Statistical Learning Theory. : Structural classification analysis of three-way dissimilarity data. J. Classif. : Principal classifications analysis: a method for generating consensus dendograms and its application to three-way data.