LEADER 05462nam 2200637Ia 450 001 996209056103316 005 20230421050604.0 010 $a1-283-27403-5 010 $a9786613274038 010 $a1-118-16598-5 010 $a1-118-16597-7 035 $a(CKB)2550000000054407 035 $a(EBL)818938 035 $a(OCoLC)757511752 035 $a(SSID)ssj0000537061 035 $a(PQKBManifestationID)11371248 035 $a(PQKBTitleCode)TC0000537061 035 $a(PQKBWorkID)10551708 035 $a(PQKB)10533542 035 $a(MiAaPQ)EBC818938 035 $a(EXLCZ)992550000000054407 100 $a19960925d1997 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGeometrical foundations of asymptotic inference$b[electronic resource] /$fRobert E. Kass, Paul W. Vos 210 $aNew York $cWiley$d1997 215 $a1 online resource (378 p.) 225 1 $aWiley series in probability and statistics. Probability and statistics 300 $a"A Wiley Interscience publication." 311 $a0-471-82668-5 320 $aIncludes bibliographical references (p. 340-347) and indexes. 327 $aGeometrical Foundations of Asymptotic Inference; Contents; Preface; 1 Overview and Preliminaries; 1.1 Overview; 1.1.1 Part I; 1.1.2 Part II; 1.1.3 Part III; 1.2 Notation; 1.2.1 Parameter Spaces; 1.2.2 Differentiation; 1.2.3 Tensor Notation; 1.2.4 Connection Notation; PART I ONE-PARAMETER CURVED EXPONENTIAL FAMILIES; 2 First-Order Asymptotics; 2.1 Introduction; 2.2 Exponential Families; 2.2.1 Basic Properties; 2.2.2 Asymptotics; 2.3 Curved Exponential Families: Definition and Examples; 2.3.1 Definition and Basic Properties; 2.3.2 Examples; 2.4 Estimators; 2.4.1 Estimating Equations 327 $a2.4.2 Auxiliary Spaces2.5 Fisher Information; 2.5.1 Information and Sufficiency; 2.5.2 The Information Inner Product; 2.5.3 Observed Information; 2.5.4 The Kullback-Leibler Divergence; 2.6 Consistency, Asymptotic Normality, and Efficiency; 2.6.1 Consistency and Asymptotic Normality; 2.6.2 Efficiency; 2.7 Bibliographical Remarks; 3 Second-Order Asymptotics; 3.1 Introduction; 3.2 Statistical Curvature; 3.2.1 Definition and Calculation; 3.2.2 Examples; 3.3 Information Loss and Local Sufficiency; 3.3.1 Information Loss; 3.3.2 Information Recovery; 3.3.3 Local Sufficiency 327 $a3.4 Other Applications of Statistical Curvature3.4.1 Second-Order Efficiency; 3.4.2 Deficiency; 3.4.3 Large Deviations; 3.4.4 The Fisher Scoring Algorithm; 3.5 Edgeworth Expansions; 3.6 Posterior Expansions; 3.7 Extensions; 3.7.1 Efron's General Formula; 3.7.2 Small-Dispersion Asymptotics; 3.8 Bibliographical Remarks; PART II MULTIPARAMETER CURVED EXPONENTIAL FAMILIES; 4 Extensions of Results from the One-Parameter Case; 4.1 Introduction; 4.2 Multiparameter Curved Exponential Families; 4.3 Curvature; 4.3.1 Curvature and Information Loss; 4.3.2 Asymptotic Risk and Bias 327 $a4.3.3 Interpretation in Nonlinear Regression4.3.4 Statistical Curvature in General Families; 4.4 Information Loss and Sufficiency; 4.5 Multivariate Edgeworth Series; 4.6 Posterior Expansions; 4.7 Bibliographical Remarks; 5 Exponential Family Regression and Diagnostics; 5.1 Introduction; 5.2 Normal Regression; 5.2.1 Normal Regression Model; 5.2.2 Maximum Likelihood Estimate; 5.2.3 Tangent Bundle; 5.3 Exponential Family Regression; 5.3.1 Preliminary Concepts; 5.3.2 A Vector Space Structure; 5.3.3 The Fisher Information Inner Product; 5.3.4 Estimation Algorithms; 5.4 Measures of Influence 327 $a5.4.1 Normal Linear Regression5.4.2 Exponential Family Regression; 5.5 Sensitivity Analysis of the Moment Structure; 5.5.1 Quasi-Likelihood Functions; 5.5.2 The Measures DL and LDLa; 5.5.3 Perturbations of the Moment Structure; 5.6 Bibliographical Remarks; 6 Curvature in Exponential Family Regression; 6.1 Introduction; 6.2 Background on Nonlinear Regression; 6.2.1 Asymptotic Normality; 6.2.2 Curvature Measures of Nonlinearity; 6.3 Curvature in Exponential Family Nonlinear Regression; 6.3.1 Generalizing the Standardized Second-Derivative Array; 6.3.2 Curvature Measures 327 $a6.4 Summaries of the Observed Third-Derivative Array 330 $aDifferential geometry provides an aesthetically appealing and often revealing view of statistical inference. Beginning with an elementary treatment of one-parameter statistical models and ending with an overview of recent developments, this is the first book to provide an introduction to the subject that is largely accessible to readers not already familiar with differential geometry. It also gives a streamlined entry into the field to readers with richer mathematical backgrounds. Much space is devoted to curved exponential families, which are of interest not only because they may be studied g 410 0$aWiley series in probability and statistics.$pProbability and statistics. 606 $aMathematical statistics$xAsymptotic theory 606 $aGeometry, Differential 615 0$aMathematical statistics$xAsymptotic theory. 615 0$aGeometry, Differential. 676 $a519.54 700 $aKass$b Robert E$0423354 701 $aVos$b Paul W.$f1961-$0939630 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996209056103316 996 $aGeometrical foundations of asymptotic inference$92118277 997 $aUNISA LEADER 05336nam 2200661Ia 450 001 9911020263903321 005 20200520144314.0 010 $a9786611764074 010 $a9781281764072 010 $a1281764078 010 $a9783527613120 010 $a3527613129 010 $a9783527613137 010 $a3527613137 035 $a(CKB)1000000000376242 035 $a(EBL)482239 035 $a(OCoLC)261340758 035 $a(SSID)ssj0000182474 035 $a(PQKBManifestationID)11181830 035 $a(PQKBTitleCode)TC0000182474 035 $a(PQKBWorkID)10171802 035 $a(PQKB)11498220 035 $a(MiAaPQ)EBC482239 035 $a(Perlego)2762554 035 $a(EXLCZ)991000000000376242 100 $a20040715d2000 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntroduction to contamination control and cleanroom technology /$fMatts Ramstorp 210 $aWeinheim ;$aNew York $cWiley-VCH$dc2000 215 $a1 online resource (182 p.) 300 $aDescription based upon print version of record. 311 08$a9783527301423 311 08$a3527301429 320 $aIncludes bibliographical references (p. [155]-159) and index. 327 $aIntroduction to Contamination Control and Cleanroom Technology; Contents; 1 Contamination control - an introduction; 1.1 Introduction; 1.2 Contamination control; 1.3 History; 1.4 Standardization; 1.4.1 Good Manufacturing Practice (GMP); 1.5 High levels of knowledge are of vital importance; 1.5.1 Fifty years of contamination control; 1.5.2 The source, dispersion and deposition of con- taminants; 1.5.3 Air cleanliness; 1.6 Conclusions; 2 Contaminants; 2.1 Introduction; 2.2 Cleanliness; 2.3 Contaminants; 2.3.1 Particulate contamination; 2.3.2 The particle content of air 327 $a2.3.3 Chemical contaminant2.3.4 Physical risk factors; 2.3.5 Sources of contamination; 2.3.6 The dispersion and spread of contaminants; 2.3.7 How can contaminants be transferred from their sources?; 2.4 Cleanliness requirements; 2.5 Microorganisms; 2.5.1 Bacteria; 2.5.2 Algae; 2.5.3 Fungi; 2.5.4 Protozoa; 2.5.5 Viruses; 2.5.6 Growth of microorganisms; 2.6 Control of microorganisms; 2.7 Conclusions; 3 Testing methods; 3.1 Introduction; 3.2 Analytical methods; 3.3 The surrounding air; 3.4 Cleanrooms; 3.4.1 System for air handling; 3.4.2 Classification; 3.4.3 Control aspects 327 $a3.5 General particle analysis3.6 Measurements according to US Federal Standard 209 E; 3.7 Measurement of hygienic parameters in a cleanroom; 3.8 Microbiological monitoring of air; 3.9 Active sampling; 3.9.1 The Andersen Sampler; 3.9.2 The Reuter Centrifugal Sampler; 3.9.3 The Slit Sampler; 3.10 Passive sampling; 3.11 Sampling surfaces in cleanrooms and clean zones; 3.12 Conclusions; 4 Cleanrooms and clean zones; 4.1 Introduction; 4.2 Defimition of a cleanroom; 4.3 Classes of cleanroom; 4.4 Occupancy states; 4.5 The meaning of the cleanroom classification; 4.6 US Federal Standard 209 E 327 $a4.7 British Standard 52954.8 IS0 >209'; 4.9 Classification of airborne particles according to IS0 14644-1; 4.10 Cleanliness testing within cleanrooms; 4.10.1 Preparations for measurements; 4.10.2 Measurement and evaluation; 4.10.3 Reporting; 4.10.4 Control program; 4.11 Classification of pharmaceutical cleanrooms; 4.11.1 Factors determining the cleanliness of a cleanroom; 4.12 Different types of cleanrooms; 4.12.1 Conventionally-venulated cleanrooms; 4.12.2 Unidirectional flow cleanrooms; 4.12.3 Airflow and air quantity; 4.13 Cleanrooms and clean zones; 4.14 Working in clean zones 327 $a4.14.1 Working in deanroonis and clean zones4.14.2 Maintenance and safety; 4.14.3 Systems for cleanroom production; 4.15 Conclusions; 5 Cleaning and decontamination; 5.1 Introduction; 5.2 The purpose of cleaning; 5.3 Standards and practices; 5.4 Cleaning; 5.4.1 Preventive cleaning; 5.4.2 Active cleaning; 5.5 Cleaning responsibility; 5.6 Classification of surface cleanliness; 5.7 Basic cleaning; 5.8 Cleaning program; 5.9 Control of cleaning methods; 5.10 Cleaning techniques; 5.11 Cleaning methods; 5.11.1 Dry methods; 5.11.2 Wet cleaning methods; 5.12 Cleaning Solution; 5.13 The Zinner circle 327 $a5.14 Elimination of microorganisms 330 $aContamination control is being used by more and more industries where the highest level of cleanliness and hygiene is of vital importance.This book covers the basic principles of contamination control and cleanroom technology from a holistic point of view. It deals with cleanliness and hygiene and their effects on the outcome of a process, reflecting the latest results from both scientific and practical points of view. The following topics are covered:contaminants and how they are measuredcleanrooms and clean zonescleaning and decontaminationcleanroom clothingthe impact 606 $aClean rooms 606 $aContamination (Technology) 615 0$aClean rooms. 615 0$aContamination (Technology) 676 $a620.8/6 700 $aRamstorp$b Matts$01599741 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020263903321 996 $aIntroduction to contamination control and cleanroom technology$94420903 997 $aUNINA