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Mathematical statistics --- Informatique --- Statistique --- Data processing --- Méthodes statistiques --- Computational statistics --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistical methods --- Statistics --- Probabilities --- Sampling (Statistics)
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Bootstrapping is a conceptually simple statistical technique to increase the quality of estimates, conduct robustness checks and compute standard errors for virtually any statistic. This book provides an intelligible and compact introduction for students, scientists and practitioners. It not only gives a clear explanation of the underlying concepts but also demonstrates the application of bootstrapping using Python and Stata.
Python (Computer program language) --- Computer bootstrapping. --- Booting, Computer --- Bootstrapping, Computer --- Computer booting --- Computer systems --- Scripting languages (Computer science) --- Bootstrapping. --- Computational Statistics. --- Resampling. --- Variance Estimation Methods.
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Statistics as Topic. --- Software. --- Algorithms. --- Statistics --- Data processing --- Computer programs --- Computer programs. --- Data processing. --- Earth Sciences --- Information Technology --- Mathematical Sciences --- Geographic Information Systems & Remote Sensing --- General and Others --- Applied Mathematics --- Stochastic Computation --- statistics --- statistical software --- statistical computing --- computational statistics
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Despite claims to the contrary, the science of ecology has a long history of building theories. Many ecological theories are mathematical, computational, or statistical, though, and rarely have attempts been made to organize or extrapolate these models into broader theories. The Theory of Ecology brings together some of the most respected and creative theoretical ecologists of this era to advance a comprehensive, conceptual articulation of ecological theories. The contributors cover a wide range of topics, from ecological niche theory to population dynamic theory to island biogeography theory. Collectively, the chapters ably demonstrate how theory in ecology accounts for observations about the natural world and how models provide predictive understandings. It organizes these models into constitutive domains that highlight the strengths and weaknesses of ecological understanding. This book is a milestone in ecological theory and is certain to motivate future empirical and theoretical work in one of the most exciting and active domains of the life sciences.
Ecology --- Philosophy. --- theoretical, academic, scholarly, ecological, theories, biology, biologist, science, scientific, math, mathematical, computation, computational, statistics, statistical, population, dynamic, species, dynamics, biogeography, observation, nature, natural world, philosophy, equilibrium, ecosystem, global, change, essay collection.
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