LEADER 02325oam 2200685 450 001 9910707327503321 005 20160818153931.0 035 $a(CKB)5470000002464246 035 $a(OCoLC)681905713$z(OCoLC)624408175 035 $a(EXLCZ)995470000002464246 100 $a20101117j199901 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRiparian reference areas in Idaho $ea catalog of plant associations and conservation sites /$fMabel Jankovsky-Jones, Steven K. Rust, Robert K. Moseley 210 1$aOgden, UT :$cUnited States Department of Agriculture, Forest Service, Rocky Mountain Research Station,$dJanuary 1999. 215 $a1 online resource (141 pages) 225 1 $aGeneral technical report RMRS ;$vGTR-20 300 $aTitle from title screen (viewed August 18, 2016). 320 $aIncludes bibliographical references (pages 3-5). 517 $aRiparian reference areas in Idaho 606 $aRiparian plants$zIdaho 606 $aRiparian plants$zIdaho$xSocieties, etc$vCatalogs 606 $aWetland plants$zIdaho 606 $aWetland plants$zIdaho$xSocieties, etc$vCatalogs 606 $aPlant communities$zIdaho 606 $aPlant conservation$zIdaho 606 $aPlant communities$2fast 606 $aPlant conservation$2fast 606 $aRiparian plants$2fast 606 $aWetland plants$2fast 607 $aIdaho$2fast 608 $aCatalogs.$2lcgft 615 0$aRiparian plants 615 0$aRiparian plants$xSocieties, etc. 615 0$aWetland plants 615 0$aWetland plants$xSocieties, etc. 615 0$aPlant communities 615 0$aPlant conservation 615 7$aPlant communities. 615 7$aPlant conservation. 615 7$aRiparian plants. 615 7$aWetland plants. 700 $aJankovsky-Jones$b Mabel$01421756 702 $aRust$b Steven K. 702 $aMoseley$b Robert K. 712 02$aRocky Mountain Research Station--Ogden, 801 0$bOCLCE 801 1$bOCLCE 801 2$bOCLCQ 801 2$bOCLCF 801 2$bOCLCO 801 2$bOCLCQ 801 2$bGPO 906 $aBOOK 912 $a9910707327503321 996 $aRiparian reference areas in Idaho$93543931 997 $aUNINA LEADER 04823nam 22005895 450 001 9910484133903321 005 20230810171413.0 010 $a3-030-53953-9 024 7 $a10.1007/978-3-030-53953-5 035 $a(CKB)4100000011797568 035 $a(MiAaPQ)EBC6520888 035 $a(Au-PeEL)EBL6520888 035 $a(OCoLC)1242106975 035 $a(DE-He213)978-3-030-53953-5 035 $a(EXLCZ)994100000011797568 100 $a20210316d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEconometric Analysis of Panel Data /$fby Badi H. Baltagi 205 $a6th ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (xx, 424 pages) 225 1 $aSpringer Texts in Business and Economics,$x2192-4341 311 $a3-030-53952-0 327 $aIntroduction -- The One-Way Error Component Regression Model -- The Two-Way Error Component Regression Model -- Test of Hypotheses with Panel Data -- Heteroskedasticity and Serial Correlation in the Error Component Model -- Seemingly Unrelated Regressions with Error Components -- Simultaneous Equations with Error Components -- Dynamic Panel Data Models -- Unbalanced Panel Data Models -- Special Topics -- Limited Dependent Variables and Panel Data -- Nonstationary Panels -- Spatial Panel Data Models. 330 $aThis textbook offers a comprehensive introduction to panel data econometrics, an area that has enjoyed considerable growth over the last two decades. Micro and Macro panels are becoming increasingly available, and methods for dealing with these types of data are in high demand among practitioners. Software programs have fostered this growth, including freely available programs in R and numerous user-written programs in both Stata and EViews. Written by one of the world?s leading researchers and authors in the field, Econometric Analysis of Panel Data has established itself as the leading textbook for graduate and postgraduate courses on panel data. It provides up-to-date coverage of basic panel data techniques, illustrated with real economic applications and datasets, which are available at the book?s website on springer.com. This new sixth edition has been fully revised and updated, and includes new material on dynamic panels, limited dependent variables and nonstationary panels, as well as spatial panel data. The author also provides empirical illustrations and examples using Stata and EViews. ?This is a definitive book written by one of the architects of modern, panel data econometrics. It provides both a practical introduction to the subject matter, as well as a thorough discussion of the underlying statistical principles without taxing the reader too greatly." Professor Kajal Lahiri, State University of New York, Albany, USA. "This book is the most comprehensive work available on panel data. It is written by one of the leading contributors to the field, and is notable for its encyclopaedic coverage and its clarity of exposition. It is useful to theorists and to people doing applied work using panel data. It is valuable as a text for a course in panel data, as a supplementary text for more general courses in econometrics, and as a reference." Professor Peter Schmidt, Michigan State University, USA. ?Panel data econometrics is in its ascendancy, combining the power of cross section averaging with all the subtleties of temporal and spatial dependence. Badi Baltagi provides a remarkable roadmap of this fascinating interface of econometric method, enticing the novitiate with technical gentleness, the expert with comprehensive coverage and the practitioner with many empirical applications.? Professor Peter C. B. Phillips, Cowles Foundation, Yale University, USA. 410 0$aSpringer Texts in Business and Economics,$x2192-4341 606 $aEconometrics 606 $aStatistics 606 $aSocial sciences$xMathematics 606 $aQuantitative Economics 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aMathematics in Business, Economics and Finance 615 0$aEconometrics. 615 0$aStatistics. 615 0$aSocial sciences$xMathematics. 615 14$aQuantitative Economics. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aMathematics in Business, Economics and Finance. 676 $a330.015195 676 $a330.015195 700 $aBaltagi$b Badi H$g(Badi Hani),$0140847 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484133903321 996 $aEconometric analysis of panel data$9625784 997 $aUNINA