LEADER 01159nam a2200301 i 4500 001 991002904879707536 008 160401s2004 it a s 001 0 ita d 020 $a8838643962 035 $ab14252296-39ule_inst 040 $aBibl. Dip.le Aggr. Ingegneria Innovazione - Sez. Ingegneria Innovazione$beng 082 04$a005.2762$222 100 1 $aConverse, Tim,$d1961-$0304251 245 10$aPHP5 e MySQL la guida /$cT. Converse, J. Park, C. Morgan 260 $aMilano :$bMcGraw-Hill,$cc2004 300 $axx, 1116 p. :$bill. ;$c24 cm 440 0$aInformatica professionale 500 $aOrig. title: PHP5 and MySQL bible 500 $aIncludes index 650 0$aPHP (Computer program language) 650 0$aSQL (Computer program language) 700 1 $aMorgan, Clark 700 1 $aPark, Joyce,$d1969- 907 $a.b14252296$b01-04-16$c01-04-16 912 $a991002904879707536 945 $aLE026 005.2762 CON 01.01 2004$g1$i2026000070193$lle026$nProf. De Paolis / Dono$og$pE59.90$q-$rl$s- $t0$u2$v1$w2$x0$y.i15716132$z01-04-16 996 $aPHP5 e MySQL la guida$9255015 997 $aUNISALENTO 998 $ale026$b01-04-16$cm$da $e $fita$git $h0$i0 LEADER 05313nam 22006255 450 001 9910523007503321 005 20250609112523.0 010 $a3-030-44246-2 010 $a9783030442460$b(ebook) 024 7 $a10.1007/978-3-030-44246-0 035 $a(CKB)4100000011232692 035 $a(DE-He213)978-3-030-44246-0 035 $a(MiAaPQ)EBC6199809 035 $a(PPN)248396277 035 $a(MiAaPQ)EBC6199765 035 $a(EXLCZ)994100000011232692 100 $a20200515d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cn$2rdamedia 183 $anc$2rdacarrier 200 10$aSampling Theory and Practice /$fby Changbao Wu, Mary E. Thompson 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (xx, 365 pages) 225 1 $aICSA Book Series in Statistics,$x2199-0999 320 $aIncludes bibliographical references and indexes. 327 $aPart I Basic Concepts and Methods in Survey Sampling -- Chapter 1 Basic Concepts in Survey Sampling -- Chapter 2 Simple Single-Stage Sampling Methods -- Chapter 3 Stratified Sampling and Cluster Sampling -- Chapter 4 General Theory and Methods of Unequal Probability Sampling -- Chapter 5 Model-Based Prediction and Model-Assisted Estimation -- Part II Advanced Topics on Analysis of Probability Survey Samples -- Chapter 6 Calibration Weighting and Estimation -- Chapter 7 Regression Analysis and Estimating Equations -- Chapter 8 Empirical Likelihood Methods -- Chapter 9 Methods for Handling Missing Data -- Chapter 10 Resampling and Replication Methods -- Chapter 11 Bayesian Empirical Likelihood Methods -- Part III Practical Issues and Special Topics in Survey Sampling -- Chapter 12 Area Frame Household Surveys -- Chapter 13 Telephone and Web Surveys -- Chapter 14 Natural Resource Inventory Surveys -- Chapter 15 Adaptive and Network Surveys -- Chapter 16 Dual Frame and Multiple Frame Surveys -- Chapter 17 Non-Probability Survey Samples -- References -- Appendix -- Index. 330 $aThe three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey samplingthat provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys. 410 0$aICSA Book Series in Statistics,$x2199-0999 606 $aSocial sciences$xStatistical methods 606 $aStatistics 606 $aStatistics 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aStatistical Theory and Methods 606 $aStatistics in Business, Management, Economics, Finance, Insurance 615 0$aSocial sciences$xStatistical methods. 615 0$aStatistics. 615 0$aStatistics. 615 14$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aStatistical Theory and Methods. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 676 $a300.727 676 $a519.52 700 $aWu$b Changbao$01017958 702 $aThompson$b Mary E. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 801 2$bTKU 906 $aBOOK 912 $a9910523007503321 996 $aSampling theory and practice$92391155 997 $aUNINA