Uncertainty [electronic resource] : The Soul of Modeling, Probability & Statistics / by William Briggs.
By: Briggs, William [author.].
Contributor(s): SpringerLink (Online service).
Material type: TextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XIX, 258 p. 23 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319397566.Subject(s): Mathematical statistics  Distribution (Probability theory  MathematicsPhilosophy  Statistics  Genetic epistemology  Logic  Statistical Theory and Methods  Probability Theory and Stochastic Processes  Philosophy of Mathematics  Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences  Epistemology  LogicAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 519.5 Online resources: Click here to access onlineItem type  Current location  Call number  Status  Date due  Barcode  Item holds  

EBOOKS 
ISI Library, Kolkata

Available  EB1663 
Truth, Argument, Realism  Logic  Induction and Intellection  What Probability Is  What Probability Is Not  Chance and Randomness  Causality  Probability Models  Statistical and Physical Models  Modelling Goals, Strategies, and Mistakes.
This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and statistics to eliminate what has been referred to as the "Cult of Statistical Significance". The book explains the philosophy of these ideas and not the mathematics, though there are a handful of mathematical examples. The topics are logically laid out, starting with basic philosophy as related to probability, statistics, and science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models. Its jargonfree approach asserts that standard methods, such as outofthebox regression, cannot help in discovering cause. This new way of looking at uncertainty ties together disparate fields — probability, physics, biology, the “soft” sciences, computer science — because each aims at discovering cause (of effects). It broadens the understanding beyond frequentist and Bayesian methods to propose a Third Way of modeling. Presents a complete argument showing why probability should be treated as a part of logic Broadens understanding beyond frequentist and Bayesian methods, proposing a Third Way of modeling Proposes that pvalues should die, and along with them, hypothesis testing William M. Briggs, PhD, is Adjunct Professor of Statistics at Cornell University. Having earned both his PhD in Statistics and MSc in Atmospheric Physics from Cornell University, he served as the editor of the American Meteorological Society journal and has published over 60 papers. He studies the philosophy of science, the use and misuses of uncertainty  from truth to modeling. Early in life, he began his career as a cryptologist for the Air Force, then slipped into weather and climate forecasting, and later matured into an epistemologist. Currently, he has a popular, longrunning blog on the subjects written about here, with about 70,000  90,000 monthly readers.
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