02580nam 2200613Ia 450 991045274810332120200520144314.01-61277-201-3(CKB)2550000001039324(EBL)3119691(SSID)ssj0000835352(PQKBManifestationID)12411252(PQKBTitleCode)TC0000835352(PQKBWorkID)10989594(PQKB)10816350(MiAaPQ)EBC3119691(Au-PeEL)EBL3119691(CaPaEBR)ebr10676124(OCoLC)868265712(EXLCZ)99255000000103932419980901d1999 uy 0engur|n|---|||||txtccrA few small candles[electronic resource] war resisters of World War II tell their stories /edited by Larry Gara & Lenna Mae GaraKent, OH Kent State University Pressc19991 online resource (207 p.)Description based upon print version of record.0-87338-621-3 Includes bibliographical references (p. 205-207)""Cover""; ""Copyright""; ""Contents""; ""Preface""; ""1. Prison Memoir""; ""2. Why I Refused to Register in the October 1940 Draft and a Little of What It Led To""; ""3. My Resistance to World War II""; ""4. My War and My Peace""; ""5. My War on War""; ""6. War Resistance in World War II""; ""7. Reflections of a Religious War Objector (Half a Century Later)""; ""8. Prison and Butterfly Wings""; ""9. How the War Changed My Life""; ""10. My Story of World War II""; ""Selected Additional Readings""World War, 1939-1945Conscientious objectorsUnited StatesService, Compulsory non-militaryUnited StatesWorld War, 1939-1945Personal narratives, AmericanConscientious objectorsUnited StatesBiographyPolitical prisonersUnited StatesBiographyElectronic books.World War, 1939-1945Conscientious objectorsService, Compulsory non-militaryWorld War, 1939-1945Personal narratives, American.Conscientious objectorsPolitical prisoners940.53/162Gara Larry975162Gara Lenna Mae1926-975163MiAaPQMiAaPQMiAaPQBOOK9910452748103321A few small candles2220361UNINA04720nam 22006855 450 991013601930332120200630020439.03-319-41644-810.1007/978-3-319-41644-1(CKB)3710000000909084(DE-He213)978-3-319-41644-1(MiAaPQ)EBC4720729(PPN)196325617(EXLCZ)99371000000090908420161018d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierBayesian Inference Data Evaluation and Decisions /by Hanns Ludwig Harney2nd ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XIII, 243 p. 39 illus., 3 illus. in color.) Includes index.3-319-41642-1 Knowledge an Logic -- Bayes' Theorem -- Probable and Improbable Data -- Descriptions of Distributions I: Real x -- Description of Distributions II: Natural x -- Form Invariance I -- Examples of Invariant Measures -- A Linear Representation of Form Invariance -- Going Beyond Form Invariance: The Geometric Prior -- Inferring the Mean or Standard Deviation -- Form Invariance II: Natural x -- Item Response Theory -- On the Art of Fitting -- Problems and Solutions -- Description of Distributions I -- Real x -- Form Invariance I -- Beyond Form Invariance: The Geometric Prior -- Inferring Mean or Standard Deviation -- Form Invariance II: Natural x -- Item Response Theory -- On the Art of Fitting. .This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This is particularly useful when the observed parameter is barely above the background or the histogram of multiparametric data contains many empty bins, so that the determination of the validity of a theory cannot be based on the chi-squared-criterion. In addition to the solutions of practical problems, this approach provides an epistemic insight: the logic of quantum mechanics is obtained as the logic of unbiased inference from counting data. New sections feature factorizing parameters, commuting parameters, observables in quantum mechanics, the art of fitting with coherent and with incoherent alternatives and fitting with multinomial distribution. Additional problems and examples help deepen the knowledge. Requiring no knowledge of quantum mechanics, the book is written on introductory level, with many examples and exercises, for advanced undergraduate and graduate students in the physical sciences, planning to, or working in, fields such as medical physics, nuclear physics, quantum mechanics, and chaos.PhysicsStatisticsNuclear physicsProbabilitiesMedical physicsRadiationComputer scienceMathematicsMathematical Methods in Physicshttps://scigraph.springernature.com/ontologies/product-market-codes/P19013Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17020Particle and Nuclear Physicshttps://scigraph.springernature.com/ontologies/product-market-codes/P23002Probability Theory and Stochastic Processeshttps://scigraph.springernature.com/ontologies/product-market-codes/M27004Medical and Radiation Physicshttps://scigraph.springernature.com/ontologies/product-market-codes/P27060Computational Mathematics and Numerical Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/M1400XPhysics.Statistics.Nuclear physics.Probabilities.Medical physics.Radiation.Computer scienceMathematics.Mathematical Methods in Physics.Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Particle and Nuclear Physics.Probability Theory and Stochastic Processes.Medical and Radiation Physics.Computational Mathematics and Numerical Analysis.530.15Harney Hanns Ludwigauthttp://id.loc.gov/vocabulary/relators/aut47556BOOK9910136019303321Bayesian inference671725UNINA