Author: Arthur Conan DoylePublisher:
ISBN: 9783190129577
Category : Audiobooks
Languages : en
Pages : 70
Book Description
Author: Arthur Conan Doyle
Author: George Mikes
Author: Hound
Author: Arthur Conan DoylePublisher:
ISBN: 9781926712390
Category : Fiction
Languages : en
Pages : 160
Book Description
Doctor Watson is dispatched to gloomy Dartmoor to investigate the savage murder of Sir Charles Baskerville--but even the great detective Sherlock Holmes could not anticipate the dark secrets they will uncover. A monster haunts the dark countryside that surrounds the Baskerville estate, a creature whose existence will challenge the rational beliefs at Holmes's core.
Author: Chihuawolf
Author: Charlee GannyPublisher: Sourcebooks, Inc.
ISBN: 1402259425
Category : Juvenile Fiction
Languages : en
Pages : 146
Book Description
USA Today Bestselling adult author Charlee Ganny's exciting middle grade debut about a little Chihuahua with the heart of a wolf. CHIHUAWOLF is a spine-tingling, funny bone-tickling horror spoof in the vein of BUNNICULA that will have kids howling for more. Meet Paco, a Chihuahua with the heart of a lion. Or, at least a dandelion ... All his Iife Paco has been made fun of for his size. Munchkin. Furry Fajita. Miniature Snoozer. So when his beloved goes missing, Paco does something a little loco. To get her back, he decides to transform himself into the biggest, baddest, fiercest canine he could possibly imagine ... a Chihuawolf! AHHHHOOOOOOO
Author: 
Author: Frederick ForsythBayes Or Bust?
Author: John EarmanPublisher: Bradford Books
ISBN: 9780262050463
Category : Psychology
Languages : en
Pages : 272
Book Description
There is currently no viable alternative to the Bayesian analysis of scientific inference, yet the available versions of Bayesianism fail to do justice to several aspects of the testing and confirmation of scientific hypotheses. Bayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging conundrum in the philosophy of science. Both Bayesians and anti-Bayesians will find a wealth of new insights on topics ranging from Bayes's original paper to contemporary formal learning theory. In a paper published posthumously in 1763, the Reverend Thomas Bayes made a seminal contribution to the understanding of "analogical or inductive reasoning." Building on his insights, modem Bayesians have developed an account of scientific inference that has attracted numerous champions as well as numerous detractors. Earman argues that Bayesianism provides the best hope for a comprehensive and unified account of scientific inference, yet the presently available versions of Bayesianisin fail to do justice to several aspects of the testing and confirming of scientific theories and hypotheses. By focusing on the need for a resolution to this impasse, Earman sharpens the issues on which a resolution turns. John Earman is Professor of History and Philosophy of Science at the University of Pittsburgh.
