LEADER 01183nam0 2200397 450 001 990001044310203316 010 $a88-204-8672-5 035 $a0104431 035 $aUSA010104431 035 $a(ALEPH)000104431USA01 035 $a0104431 100 $a20020319d1994----km-y0ITAy01------ba 101 $aita 102 $aIT 105 $a00||| 200 1 $aMafia e corruzione$eun libro scritto da 150000 italiani$fUgo Pecchioli, Marco Marturano 210 $aMilano$cF. Angeli$d1994 215 $a336 p.$d22 cm 225 2 $aSocietā e politica$v47 300 $aIn appendice: I racconti-denuncia, degli stessi AA 410 0$12001$aSocietā e politica$v47 606 $aMafia$yItalia 606 $aCorruzione politica$yItalia 676 $a364.1060945 700 1$aPECCHIOLI,$bUgo$0527506 701 1$aMARTURANO,$bMarco$0542006 801 0$aIT$bsalbc$gISBD 912 $a990001044310203316 951 $aCOLL. AYN 47$b2940 EC$cCOLL. AYN 959 $aBK 969 $aECO 979 $aPATTY$b90$c20020319$lUSA01$h1725 979 $c20020403$lUSA01$h1744 979 $aPATRY$b90$c20040406$lUSA01$h1712 996 $aMafia e corruzione$9976487 997 $aUNISA LEADER 03583nam 2200565 450 001 996466548403316 005 20230421105057.0 010 $a3-030-63757-3 024 7 $a10.1007/978-3-030-63757-6 035 $a(CKB)4100000011797533 035 $a(DE-He213)978-3-030-63757-6 035 $a(MiAaPQ)EBC6516223 035 $a(Au-PeEL)EBL6516223 035 $a(OCoLC)1242026524 035 $a(PPN)254719856 035 $a(EXLCZ)994100000011797533 100 $a20211009d2021 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA course on small area estimation and mixed models $emethods, theory and applications in R /$fDomingo Morales [and three others] 205 $a1st ed. 2021. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$dŠ2021 215 $a1 online resource (XX, 599 p. 373 illus., 10 illus. in color.) 225 1 $aStatistics for Social and Behavioral Sciences 311 $a3-030-63756-5 327 $a1 Small Area Estimation -- 2 Design-based Direct Estimation -- 3 Design-based Indirect Estimation -- 4 Prediction Theory -- 5 Linear Models -- 6 Linear Mixed Models -- 7 Nested Error Regression Models -- 8 EBLUPs under Nested Error Regression Models -- 9 Mean Squared Error of EBLUPs -- 10 EBPs under Nested Error Regression Models -- 11 EBLUPs under Two-fold Nested Error Regression Models -- 12 EBPs under Two-fold Nested Error Regression Models -- 13 Random Regression Coefficient Models -- 14 EBPs under Unit-level Logit Mixed Models -- 15 EBPs under Unit-level Two-fold Logit Mixed Models -- 16 Fay-Herriot Models -- 17 Area-level Temporal Linear Mixed Models -- 18 Area-level Spatio-temporal Linear Mixed Models -- 19 Area-level Bivariate Linear Mixed Models -- 20 Area-level Poisson Mixed Models -- 21 Area-level Temporal Poisson Mixed Models -- A Some Useful Formulas -- Index. 330 $aThis advanced textbook explores small area estimation techniques, covers the underlying mathematical and statistical theory and offers hands-on support with their implementation. It presents the theory in a rigorous way and compares and contrasts various statistical methodologies, helping readers understand how to develop new methodologies for small area estimation. It also includes numerous sample applications of small area estimation techniques. The underlying R code is provided in the text and applied to four datasets that mimic data from labor markets and living conditions surveys, where the socioeconomic indicators include the small area estimation of total unemployment, unemployment rates, average annual household incomes and poverty indicators. Given its scope, the book will be useful for master and PhD students, and for official and other applied statisticians. . 410 0$aStatistics for social and behavioral sciences. 606 $aSmall area statistics 606 $aR (Computer program language) 606 $aEstadística matemātica$2thub 606 $aR (Llenguatge de programaciķ)$2thub 608 $aLlibres electrōnics$2thub 615 0$aSmall area statistics. 615 0$aR (Computer program language) 615 7$aEstadística matemātica 615 7$aR (Llenguatge de programaciķ) 676 $a519.52 700 $aMorales$b Domingo$0854068 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466548403316 996 $aA course on small area estimation and mixed models$91907149 997 $aUNISA