LEADER 04332nam 22007575 450 001 9910484110903321 005 20250610110431.0 010 $a9783030558970 010 $a3030558975 024 7 $a10.1007/978-3-030-55897-0 035 $a(CKB)4100000011457727 035 $a(DE-He213)978-3-030-55897-0 035 $a(MiAaPQ)EBC6352974 035 $a(PPN)250223503 035 $a(MiAaPQ)EBC6352934 035 $a(MiAaPQ)EBC29228830 035 $a(EXLCZ)994100000011457727 100 $a20200917d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBayesian Compendium /$fby Marcel van Oijen 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XIV, 204 p. 60 illus., 23 illus. in color.) 311 08$a9783030558963 311 08$a3030558967 320 $aIncludes bibliographical references and index. 327 $aPreface -- 1 Introduction to Bayesian thinking -- 2 Introduction to Bayesian science -- 3 Assigning a prior distribution -- 4 Assigning a likelihood function -- 5 Deriving the posterior distribution -- 6 Sampling from any distribution by MCMC -- 7 Sampling from the posterior distribution by MCMC -- 8 Twelve ways to fit a straight line -- 9 MCMC and complex models -- 10 Bayesian calibration and MCMC: Frequently asked questions -- 11 After the calibration: Interpretation, reporting, visualization -- 2 Model ensembles: BMC and BMA -- 13 Discrepancy -- 14 Gaussian Processes and model emulation -- 15 Graphical Modelling (GM) -- 16 Bayesian Hierarchical Modelling (BHM) -- 17 Probabilistic risk analysis and Bayesian decision theory -- 18 Approximations to Bayes -- 19 Linear modelling: LM, GLM, GAM and mixed models -- 20 Machine learning -- 21 Time series and data assimilation -- 22 Spatial modelling and scaling error -- 23 Spatio-temporal modelling and adaptive sampling -- 24 What next? -- Appendix 1: Notation and abbreviations -- Appendix 2: Mathematics for modellers -- Appendix 3: Probability theory for modellers -- Appendix 4: R -- Appendix 5: Bayesian software. 330 $aThis book describes how Bayesian methods work. Its primary aim is to demystify them, and to show readers: Bayesian thinking isn?t difficult and can be used in virtually every kind of research. In addition to revealing the underlying simplicity of statistical methods, the book explains how to parameterise and compare models while accounting for uncertainties in data, model parameters and model structures. How exactly should data be used in modelling? The literature offers a bewildering variety of techniques and approaches (Bayesian calibration, data assimilation, Kalman filtering, model-data fusion). This book provides a short and easy guide to all of these and more. It was written from a unifying Bayesian perspective, which reveals how the multitude of techniques and approaches are in fact all related to one another. Basic notions from probability theory are introduced. Executable code examples are included to enhance the book?s practical use for scientific modellers, andall code is available online as well. 606 $aStatistics 606 $aBiometry 606 $aEcology 606 $aStatistics 606 $aEnvironmental monitoring 606 $aAnalytical chemistry 606 $aBayesian Inference 606 $aBiostatistics 606 $aEcology 606 $aStatistical Theory and Methods 606 $aEnvironmental Monitoring 606 $aAnalytical Chemistry 615 0$aStatistics. 615 0$aBiometry. 615 0$aEcology. 615 0$aStatistics. 615 0$aEnvironmental monitoring. 615 0$aAnalytical chemistry. 615 14$aBayesian Inference. 615 24$aBiostatistics. 615 24$aEcology. 615 24$aStatistical Theory and Methods. 615 24$aEnvironmental Monitoring. 615 24$aAnalytical Chemistry. 676 $a519.542 676 $a519.542 700 $aOijen$b Marcel van$01016394 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484110903321 996 $aBayesian compendium$92377961 997 $aUNINA LEADER 04157nam 22007335 450 001 9910672441503321 005 20251008142146.0 010 $a981-19-9002-6 024 7 $a10.1007/978-981-19-9002-1 035 $a(MiAaPQ)EBC7202398 035 $a(Au-PeEL)EBL7202398 035 $a(CKB)26154960300041 035 $a(DE-He213)978-981-19-9002-1 035 $a(PPN)268210071 035 $a(EXLCZ)9926154960300041 100 $a20230214d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPharmaceutical Calibration, Validation and Qualification: A Comprehensive Approach /$fby Shiv Shankar Shukla, Ravindra Kumar Pandey, Beena Gidwani, Gunjan Kalyani 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (216 pages) 311 08$aPrint version: Shukla, Shiv Shankar Pharmaceutical Calibration, Validation and Qualification: a Comprehensive Approach Singapore : Springer,c2023 9789811990014 320 $aIncludes bibliographical references. 327 $aChapter 1. Introduction to Calibration -- Chapter 2. Errors and Uncertainties in Calibrations -- Chapter 3. Calibration Methods and Procedures -- Chapter 4. Calibration Software Support -- Chapter 5. Objectives of Qualification -- Chapter 6. Approach to the Qualification process -- Chapter 7. Objectives, Methods and Roles of Verification -- Chapter 8. Improvement in Software Quality -- Chapter 9. General Principles of Validation -- Chapter 10. Process Validation and its Types -- Chapter 11. Pharmaceutical Equipment Validation -- Chapter 12. Cleaning Validation for the Pharmaceutical, Biopharmaceutical, Nutraceuticals -- Chapter 13. Validation of Pharmaceutical Dosages Form ? Validation of Tablets, Capsules, Liquids and Semisolids -- Chapter 14. Approach for Herbal Standardization -- Chapter 15. Regulatory requirements for herbal medicines in India -- Chapter 16. Expert Opinion on the Basis of the Content. 330 $aThis up-to-date and unique monograph covers the different aspects of pharmaceutical validation, calibration, qualification and documentation. It discusses the various methods and processes under all these heads. It includes eight major sections and exhaustively covers each topic.The book includes interesting and timely topics like the ?Validation of herbals? considering the increasing reliance on herbal medicines. It includes a section of validation of dosage forms, which is an essential topic for any pharmaceutical scientist. The chapters provide lucid illustrations, figures, flowcharts and other diagrams to facilitate understanding. A final section on 'expert opinion' provides a rundown about the global scenario to the readers. The book serves as a complete reference material for students, researchers and industry experts in the field of pharmaceutical sciences, medicinal chemistry and pharmacology. 606 $aPharmacy 606 $aPharmacology 606 $aMedical sciences 606 $aDrug development 606 $aPharmaceutical chemistry 606 $aToxicology 606 $aPharmacovigilance 606 $aPharmacy 606 $aPharmacology 606 $aPreclinical Research 606 $aPharmaceutics 606 $aToxicology 606 $aDrug Safety and Pharmacovigilance 615 0$aPharmacy. 615 0$aPharmacology. 615 0$aMedical sciences. 615 0$aDrug development. 615 0$aPharmaceutical chemistry. 615 0$aToxicology. 615 0$aPharmacovigilance. 615 14$aPharmacy. 615 24$aPharmacology. 615 24$aPreclinical Research. 615 24$aPharmaceutics. 615 24$aToxicology. 615 24$aDrug Safety and Pharmacovigilance. 676 $aQC100 700 $aShukla$b Shiv Shankar$01334123 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910672441503321 996 $aPharmaceutical Calibration, Validation and Qualification$93374075 997 $aUNINA