LEADER 01010nam a22002771i 4500 001 991002854739707536 005 20030812145515.0 008 030925s1973 fi |||||||||||||||||fin 020 $a9516480225 035 $ab12346494-39ule_inst 035 $aARCHE-039403$9ExL 040 $aBiblioteca Interfacoltà$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a261.8 100 1 $aPoëll, Ivar H.$0454868 245 10$aSubsidiaritetsprincipen /$cav Ivar H. Poëll 260 $aÅbo :$bÅbo Akademi,$c1973 300 $a76 p. ;$c25 cm 440 0$aActa Academiae Aboensis.$nSeries A,$pHumaniora ;$v44/1 650 4$aChiesa e problemi sociali 650 4$aChiesa e Stato 907 $a.b12346494$b02-04-14$c08-10-03 912 $a991002854739707536 945 $aLE002 D Ann. 714/044 1$g1$i2002000132307$lle002$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i12749874$z08-10-03 996 $aSubsidiaritetsprincipen$9159284 997 $aUNISALENTO 998 $ale002$b08-10-03$cm$da $e-$ffin$gfi $h0$i1 LEADER 05396nam 2200673Ia 450 001 9911020268103321 005 20200520144314.0 010 $a9786612547652 010 $a9781282547650 010 $a1282547658 010 $a9780470665480 010 $a0470665483 010 $a9780470665466 010 $a0470665467 035 $a(CKB)2670000000014731 035 $a(EBL)514397 035 $a(SSID)ssj0000356434 035 $a(PQKBManifestationID)11277634 035 $a(PQKBTitleCode)TC0000356434 035 $a(PQKBWorkID)10349051 035 $a(PQKB)10933388 035 $a(MiAaPQ)EBC514397 035 $a(OCoLC)612432902 035 $a(Perlego)2750925 035 $a(EXLCZ)992670000000014731 100 $a20100114d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAgricultural survey methods /$fedited by Roberto Benedetti [et. al.] 210 $aChichester, West Sussex $cJohn Wiley & Sons$dc2010 215 $a1 online resource (435 p.) 300 $aBased on papers presented at the 1998, 2001, 2004 and 2007 International Conferences on Agricultural Statistics. 311 08$a9780470743713 311 08$a0470743719 320 $aIncludes bibliographical references and index. 327 $aAgricultural Survey Methods; Contents; List of Contributors; Introduction; 1 The present state of agricultural statistics in developed countries: situation and challenges; 1.1 Introduction; 1.2 Current state and political and methodological context; 1.2.1 General; 1.2.2 Specific agricultural statistics in the UNECE region; 1.3 Governance and horizontal issues; 1.3.1 The governance of agricultural statistics; 1.3.2 Horizontal issues in the methodology of agricultural statistics; 1.4 Development in the demand for agricultural statistics; 1.5 Conclusions; Acknowledgements; Reference 327 $aPart I Census, Frames, Registers and Administrative Data2 Using administrative registers for agricultural statistics; 2.1 Introduction; 2.2 Registers, register systems and methodological issues; 2.3 Using registers for agricultural statistics; 2.3.1 One source; 2.3.2 Use in a farm register system; 2.3.3 Use in a system for agricultural statistics linked with the business register; 2.4 Creating a farm register: the population; 2.5 Creating a farm register: the statistical units; 2.6 Creating a farm register: the variables; 2.7 Conclusions; References 327 $a3 Alternative sampling frames and administrative data. What is the best data source for agricultural statistics?3.1 Introduction; 3.2 Administrative data; 3.3 Administrative data versus sample surveys; 3.4 Direct tabulation of administrative data; 3.4.1 Disadvantages of direct tabulation of administrative data; 3.5 Errors in administrative registers; 3.5.1 Coverage of administrative registers; 3.6 Errors in administrative data; 3.6.1 Quality control of the IACS data; 3.6.2 An estimate of errors of commission and omission in the IACS data; 3.7 Alternatives to direct tabulation 327 $a3.7.1 Matching different registers3.7.2 Integrating surveys and administrative data; 3.7.3 Taking advantage of administrative data for censuses; 3.7.4 Updating area or point sampling frames with administrative data; 3.8 Calibration and small-area estimators; 3.9 Combined use of different frames; 3.9.1 Estimation of a total; 3.9.2 Accuracy of estimates; 3.9.3 Complex sample designs; 3.10 Area frames; 3.10.1 Combining a list and an area frame; 3.11 Conclusions; Acknowledgements; References; 4 Statistical aspects of a census; 4.1 Introduction; 4.2 Frame; 4.2.1 Coverage; 4.2.2 Classification 327 $a4.2.3 Duplication4.3 Sampling; 4.4 Non-sampling error; 4.4.1 Response error; 4.4.2 Non-response; 4.5 Post-collection processing; 4.6 Weighting; 4.7 Modelling; 4.8 Disclosure avoidance; 4.9 Dissemination; 4.10 Conclusions; References; 5 Using administrative data for census coverage; 5.1 Introduction; 5.2 Statistics Canada's agriculture statistics programme; 5.3 1996 Census; 5.4 Strategy to add farms to the farm register; 5.4.1 Step 1: Match data from E to M; 5.4.2 Step 2: Identify potential farm operations among the unmatched records from E 327 $a5.4.3 Step 3: Search for the potential farms from E on M 330 $aDue to the widespread use of surveys in agricultural resources estimation there is a broad and recognizable interest in methods and techniques to collect and process agricultural data. This book brings together the knowledge of academics and experts to increase the dissemination of the latest developments in agricultural statistics. Conducting a census, setting up frames and registers and using administrative data for statistical purposes are covered and issues arising from sample design and estimation, use of remote sensing, management of data quality and dissemination and analysis of 606 $aAgriculture$xStatistical methods 606 $aAgricultural mathematics 615 0$aAgriculture$xStatistical methods. 615 0$aAgricultural mathematics. 676 $a630.721 676 $a630.727 701 $aBenedetti$b Roberto$f1964-$082066 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020268103321 996 $aAgricultural survey methods$94420917 997 $aUNINA