LEADER 01801nam 2200445Ia 450 001 9910458133703321 005 20200520144314.0 010 $a1-59726-970-0 035 $a(CKB)2560000000054745 035 $a(EBL)3317495 035 $a(MiAaPQ)EBC3317495 035 $a(Au-PeEL)EBL3317495 035 $a(CaPaEBR)ebr10437870 035 $a(OCoLC)699509899 035 $a(EXLCZ)992560000000054745 100 $a20100104d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 200 10$aCommunity character$b[electronic resource] $eprinciples for design and planning /$fLane H. Kendig, with Bret C. Keast 210 $aWashington, DC $cIsland Press$dc2010 215 $a1 online resource (202 p.) 300 $aDescription based upon print version of record. 311 $a1-59726-696-5 320 $aIncludes bibliographical references and index. 327 $a""Title Page""; ""Copyright Page""; ""Table of Contents""; ""Acknowledgments""; ""Introduction: Why Should We Care About Community Character?""; ""Chapter 1: The Designer's Lexicon""; ""Chapter 2: Community State, Context, and Scale""; ""Chapter 3: Community Character Classes and Types""; ""Chapter 4: Community and Regional Forms""; ""Chapter 5: Community Character Measurement""; ""Conclusion""; ""Notes""; ""Index"" 606 $aCommunity development$xPlanning 606 $aRural development$xPlanning 608 $aElectronic books. 615 0$aCommunity development$xPlanning. 615 0$aRural development$xPlanning. 676 $a307.1/2 700 $aKendig$b Lane$0867606 701 $aKeast$b Bret C$0867607 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910458133703321 996 $aCommunity character$91936428 997 $aUNINA LEADER 02089oam 2200565M 450 001 9910716392703321 005 20200213070540.6 035 $a(CKB)5470000002520204 035 $a(OCoLC)1065857341 035 $a(OCoLC)995470000002520204 035 $a(EXLCZ)995470000002520204 100 $a20071213d1926 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInvestigation of the textile, steel and aluminum industries. June 21 (calendar day, June 22), 1926. -- Ordered to be printed 210 1$a[Washington, D.C.] :$c[U.S. Government Printing Office],$d1926. 215 $a1 online resource (2 pages) 225 1 $aSenate report / 69th Congress, 1st session. Senate ;$vno. 1122 225 1 $a[United States congressional serial set] ;$v[serial no. 8528] 300 $aBatch processed record: Metadata reviewed, not verified. Some fields updated by batch processes. 300 $aFDLP item number not assigned. 517 $aInvestigation of the textile, steel and aluminum industries. June 21 606 $aAluminum industry and trade 606 $aAluminum 606 $aGovernmental investigations$zUnited States 606 $aIron industry and trade 606 $aSteel industry and trade 606 $aTextile industry 606 $aWages 606 $aWork environment 608 $aLegislative materials.$2lcgft 615 0$aAluminum industry and trade. 615 0$aAluminum. 615 0$aGovernmental investigations 615 0$aIron industry and trade. 615 0$aSteel industry and trade. 615 0$aTextile industry. 615 0$aWages. 615 0$aWork environment. 701 $aBingham$b Hiram$f1875-1956$pRepublican (CT)$0463205 801 0$bWYU 801 1$bWYU 801 2$bOCLCO 906 $aBOOK 912 $a9910716392703321 996 $aInvestigation of the textile, steel and aluminum industries. June 21 (calendar day, June 22), 1926. -- Ordered to be printed$93471308 997 $aUNINA LEADER 05568oam 2200721I 450 001 9910969047003321 005 20251117084904.0 010 $a1-134-34044-3 010 $a1-283-60655-0 010 $a9786613919007 010 $a1-134-34045-1 010 $a0-203-18075-5 024 7 $a10.4324/9780203180754 035 $a(CKB)2670000000242434 035 $a(EBL)1024466 035 $a(OCoLC)811505523 035 $a(SSID)ssj0000747504 035 $a(PQKBManifestationID)11453726 035 $a(PQKBTitleCode)TC0000747504 035 $a(PQKBWorkID)10704627 035 $a(PQKB)11225638 035 $a(MiAaPQ)EBC1024466 035 $a(Au-PeEL)EBL1024466 035 $a(CaPaEBR)ebr10603870 035 $a(CaONFJC)MIL391900 035 $a(OCoLC)815477937 035 $a(EXLCZ)992670000000242434 100 $a20180706d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdvanced econometric theory /$fJohn S. Chipman 205 $a1st ed. 210 1$aAbingdon, Oxon :$cRoutledge,$d2011. 215 $a1 online resource (409 p.) 225 1 $aRoutledge advanced texts in economics and finance ;$v14 300 $aDescription based upon print version of record. 311 08$a0-415-32630-3 311 08$a0-415-32629-X 320 $aIncludes bibliographical references and index. 327 $aAdvanced Econometric Theory; Copyright; Contents; List of figures and tables; Preface; 1 Multivariate analysis and the linear regression model; 1.1 Introduction; 1.2 Existence of a solution to the normal equation; 1.3 The concept of wide-sense conditional expectation; 1.4 Conditional expectation with normal variables; 1.5 The relation between wide-sense and strict-sense conditional expectation; 1.6 Conditional means and minimum mean-square error; 1.7 Bayes estimation; 1.8 The relation between Bayes and Gauss-Markov estimation in the case of a single independent variable; 1.9 Exercises 327 $a2 Least-squares and Gauss-Markov theory2.1 Least-squares theory; 2.2 Principles of estimation; 2.3 The concept of a generalized inverse of a matrix; 2.4 The matrix Cauchy-Schwarz inequality and an extension; 2.5 Gauss-Markov theory; 2.6 The relation between Gauss-Markov and least-squares estimators; 2.7 Minimum-bias estimation; 2.8 Multicollinearity and the imposition of dummy linear restrictions; 2.9 Specification error; 2.10 Exercises; 3 Multicollinearity and reduced-rank estimation; 3.1 Introduction; 3.2 Singular-value decomposition of a matrix; 3.3 The condition number of a matrix 327 $a3.4 The Eckart-Young theorem3.5 Reduced-rank estimation; 3.6 Exercises; 4 The treatment of linear restrictions; 4.1 Estimation subject to linear restrictions; 4.2 Linear aggregation and duality; 4.3 Testing linear restrictions; 4.4 Reduction of mean-square error by imposition of linear restrictions; 4.5 Uncertain linear restrictions; 4.6 Properties of the generalized ridge estimator; 4.7 Comparison of restricted and generalized ridge estimators; 4A Appendix (to Section 4.4): Guide to the computation of percentage points of the noncentral F distribution; 4.8 Exercises; 5 Stein estimation 327 $a5.1 Stein's theorem and the regression model5.2 Lemmas underlying the James-Stein theorem; 5.3 Some further developments of Stein estimation; 5.4 Exercises; 6 Autocorrelation of residuals - 1; 6.1 The first-order autoregressive model; 6.2 Efficiency of trend estimation: the ordinary least-squares estimator; 6.3 Efficiency of trend estimation: the Cochrane-Orcutt estimator; 6.4 Efficiency of trend estimation: the Prais-Winsten weighted-difference estimator; 6.5 Efficiency of trend estimation: the Prais-Winsten first-difference estimator; 6.6 Discussion of the literature; 6.7 Exercises 327 $a7 Autocorrelation of residuals - 27.1 Anderson models; 7.2 Testing for autocorrelation: Anderson's theorem and the Durbin-Watson test; 7.3 Distribution and beta approximation of the Durbin-Watson statistic; 7.4 Bias in estimation of sampling variances; 7.5 Exercises; 8 Simultaneous-equations estimation; 8.1 The identification problem; 8.2 Anderson and Rubin's "limited-information maximum-likelihood" (LIML) method, 1: the handling of linear restrictions; 8.3 Anderson and Rubin's "limited-information maximum-likelihood" method, 2: constrained maximization of the likelihood function 327 $a8.4 The contributions of Basmann and Theil 330 $aWhen learning econometrics, what better way than to be taught by one of its masters. In this significant new volume, John Chipman, the eminence grise of econometrics, presents his classic lectures in econometric theory.Starting with the linear regression model, least squares, Gauss-Markov theory and the first principals of econometrics, this book guides the introductory student to an advanced stage of ability. The text covers multicollinearity and reduced-rank estimation, the treatment of linear restrictions and minimax estimation. Also included are chapters on the autocorr 410 0$aRoutledge advanced texts in economics and finance. 606 $aEconometrics 606 $aEconomics, Mathematical 615 0$aEconometrics. 615 0$aEconomics, Mathematical. 676 $a330.015195 700 $aChipman$b John Somerset$f1926-2022,$01439944 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910969047003321 996 $aAdvanced econometric theory$94498025 997 $aUNINA