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Journey inside the numbers for an exceptional set of statistical tools and rules that can help explain the winning, or losing, ways of a basketball team. Basketball on Paper doesnÆt diagram plays or explain how players get in shape, but instead demonstrates how to interpret player and team performance. Dean Oliver highlights general strategies for teams when theyÆre winning or losing and what aspects should be the focus in either situation. He describes and quantifies the jobs of team leaders and role players, then discusses the interactions between players and how to achieve the best fit. Oli
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Using real data from published sources, this casebook shows how statistical tools can be used to analyse important epidemiological issues.
Epidemiology --- Statistical methods. --- Mathematical models. --- Statistical methods
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Credit Data and Scoring: The First Triumph of Big Data and Big Algorithms illuminates the often-hidden practice of predicting an individual's economic responsibility. Written by a leading practitioner, it examines the international implications of US leadership in credit scoring and what other countries have learned from it in building their own systems. Through its comprehensive contemporary perspective, the book also explores how algorithms and big data are driving the future of credit scoring. By revealing a new big picture and data comparisons, it delivers useful insights into legal, regulatory and data manipulation. Provides insights into credit scoring goals and methods Examines U.S leadership in developing credit data and algorithms and how other countries depart from it Analyzes the growing influence of algorithms in data scoring.
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This revised edition was developed after teaching statistics to undergraduate and graduate social work students for over ten years. The statistical concepts that are necessary for students to know are covered, ranging from simple descriptive statistics such as crosstabs and tabular data up to a limited discussion of multiple regression.
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This self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. No previous knowledge of the subject is assumed and mathematics is deliberately kept at a manageable level.
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Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems.
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Cet ouvrage expose les principaux outils statistiques utiles à la génétique : tests de signification, méthodes d'analyse fondées sur la fonction de vraisemblance, algorithme EM, modélisations, analyse de la variance, classifications hiérarchiques, comparaisons multiples, etc. Tous permettent d'éclairer nombre de problèmes biologiques comme la carcinogenèse, la génétique des populations, la sélection naturelle, les mutations, l'hérédité, les processus de coalescence, ou encore l'évolution. Ce livre s'adresse autant aux mathématiciens qu'aux biologistes. Rédigé avec un grand souci de clarté, il
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