LEADER 01154nam 22003853 450 001 9910346800303321 005 20220207155336.0 035 $a(CKB)4920000000095585 035 $a(MiAaPQ)EBC6824325 035 $a(Au-PeEL)EBL6824325 035 $a(OCoLC)1105781679 035 $a(EXLCZ)994920000000095585 100 $a20220207d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCultivating Dynamic Educators $eCase Studies in Teacher Behavior Change in Africa and Asia 210 1$aResearch Triangle Park, NC :$cRTI International / RTI Press,$d2018. 210 4$dİ2018. 215 $a1 online resource (340 pages) 225 1 $aRTI Press Publication 311 $a1-934831-22-0 410 0$aRTI Press Publication 517 $aCultivating dynamic educators 608 $aElectronic books. 700 $aPouezevara$b Sarah$01075853 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910346800303321 996 $aCultivating Dynamic Educators$92585687 997 $aUNINA LEADER 04720nam 22006855 450 001 9910136019303321 005 20200630020439.0 010 $a3-319-41644-8 024 7 $a10.1007/978-3-319-41644-1 035 $a(CKB)3710000000909084 035 $a(DE-He213)978-3-319-41644-1 035 $a(MiAaPQ)EBC4720729 035 $a(PPN)196325617 035 $a(EXLCZ)993710000000909084 100 $a20161018d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBayesian Inference $eData Evaluation and Decisions /$fby Hanns Ludwig Harney 205 $a2nd ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XIII, 243 p. 39 illus., 3 illus. in color.) 300 $aIncludes index. 311 $a3-319-41642-1 327 $aKnowledge 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. . 330 $aThis 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. 606 $aPhysics 606 $aStatistics 606 $aNuclear physics 606 $aProbabilities 606 $aMedical physics 606 $aRadiation 606 $aComputer science$xMathematics 606 $aMathematical Methods in Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19013 606 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020 606 $aParticle and Nuclear Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P23002 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aMedical and Radiation Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P27060 606 $aComputational Mathematics and Numerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M1400X 615 0$aPhysics. 615 0$aStatistics. 615 0$aNuclear physics. 615 0$aProbabilities. 615 0$aMedical physics. 615 0$aRadiation. 615 0$aComputer science$xMathematics. 615 14$aMathematical Methods in Physics. 615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aParticle and Nuclear Physics. 615 24$aProbability Theory and Stochastic Processes. 615 24$aMedical and Radiation Physics. 615 24$aComputational Mathematics and Numerical Analysis. 676 $a530.15 700 $aHarney$b Hanns Ludwig$4aut$4http://id.loc.gov/vocabulary/relators/aut$047556 906 $aBOOK 912 $a9910136019303321 996 $aBayesian inference$9671725 997 $aUNINA