LEADER 03342pam 2200349 a 450 001 996248198703316 005 20230829004504.0 010 $a0-226-76967-4 035 $a(CKB)3390000000018179 035 $a(MH)002459442-3 035 $a(EXLCZ)993390000000018179 100 $a19910819d1992 uy 0 101 0 $aeng 200 10$aMake room for TV $etelevision and the family ideal in postwar America /$fLynn Spigel$b[electronic resource] 210 0 $aChicago $cUniversity of Chicago Press$d1992 215 $a1 online resource (x, 236 p. )$cill. ; 320 $aIncludes bibliographical references (p. 189-225) and index. 327 $a1. Domestic Ideals and Family Amusements: From the Victorians to the Broadcast Age -- 2. Television in the Family Circle -- 3. Women's Work -- 4. The Home Theater -- 5. The People in the Theater Next Door. 330 $aBetween 1948 and 1955, nearly two-thirds of all American families bought a television set--and a revolution in social life and popular culture was launched. In this fascinating book, Lynn Spigel chronicles the enormous impact of television in the formative years of the new medium: how, over the course of a single decade, television became an intimate part of everyday life. What did Americans expect from it? What effects did the new daily ritual of watching television have on children? Was television welcomed as an unprecedented "window on the world," or as a "one-eyed monster" that would disrupt households and corrupt children? Drawing on an ambitious array of unconventional sources, from sitcom scripts to articles and advertisements in women's magazines, Spigel offers the fullest available account of the popular response to television in the postwar years. She chronicles the role of television as a focus for evolving debates on issues ranging from the ideal of the perfect family and changes in women's role within the household to new uses of domestic space. The arrival of television did more than turn the living room into a private theater: it offered a national stage on which to play out and resolve conflicts about the way Americans should live. Spigel chronicles this lively and contentious debate as it took place in the popular media. Of particular interest is her treatment of the way in which the phenomenon of television itself was constantly deliberated--from how programs should be watched to where the set was placed to whether Mom, Dad, or kids should control the dial. Make Room for TV combines a powerful analysis of the growth of electronic culture with a nuanced social history of family life in postwar America, offering a provocative glimpse of the way television became the mirror of so many of America's hopes and fears and dreams. 531 $aMAKE ROOM FOR TV 606 $aTelevision and families$zUnited States 615 0$aTelevision and families 676 $a306.87 700 0$aSpigel$b Lynn$0877387 801 0$bDLC 801 1$bDLC 801 2$bDLC 906 $aBOOK 912 $a996248198703316 996 $aMake room for TV$92372275 997 $aUNISA 999 $aThis Record contains information from the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others the Library of Congress LEADER 05814nam 2200685 450 001 9910831051103321 005 20170810190648.0 010 $a1-118-85396-2 010 $a1-118-85392-X 010 $a1-118-85393-8 035 $a(CKB)3710000000251854 035 $a(EBL)1810511 035 $a(SSID)ssj0001348340 035 $a(PQKBManifestationID)11775629 035 $a(PQKBTitleCode)TC0001348340 035 $a(PQKBWorkID)11372227 035 $a(PQKB)11618509 035 $a(MiAaPQ)EBC1810511 035 $a(DLC) 2014011507 035 $a(CaSebORM)9781118853962 035 $a(PPN)192687441 035 $a(EXLCZ)993710000000251854 100 $a20141014h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical inference for models with multivariate t-distributed errors /$fA. K. Md. Ehsanes Saleh, M. Arashi, S. M. M. Tabatabaey 205 $a1st edition 210 1$aHoboken, New Jersey :$cJohn Wiley & Sons,$d2014. 210 4$dİ2014 215 $a1 online resource (275 p.) 300 $aDescription based upon print version of record. 311 $a1-322-19613-3 311 $a1-118-85405-5 320 $aIncludes bibliographical references and indexes. 327 $aCover; Title Page; Copyright Page; CONTENTS; List of Figures; List of Tables; Preface; Glossary; List of Symbols; 1 Introduction; 1.1 Objective of the Book; 1.2 Models under Consideration; 1.2.1 Location Model; 1.2.2 Simple Linear Model; 1.2.3 ANOVA Model; 1.2.4 Parallelism Model; 1.2.5 Multiple Regression Model; 1.2.6 Ridge Regression; 1.2.7 Multivariate Model; 1.2.8 Simple Multivariate Linear Model; 1.3 Organization of the Book; 1.4 Problems; 2 Preliminaries; 2.1 Normal Distribution; 2.2 Chi-Square Distribution; 2.3 Student''s t-Distribution; 2.4 F-Distribution 327 $a2.5 Multivariate Normal Distribution2.6 Multivariate t-Distribution; 2.6.1 Expected Values of Functions of M_t^(p)(? , ?^2V_p, ?o) - Variables; 2.6.2 Sampling Distribution of Quadratic Forms; 2.6.3 Distribution of Linear Functions of t-Variables; 2.7 Problems; 3 Location Model; 3.1 Model Specification; 3.2 Unbiased Estimates of ? and ?^2 and Test of Hypothesis; 3.3 Estimators; 3.4 Bias and MSE Expressions of the Location Estimators; 3.4.1 Analysis of the Estimators of Location Parameter; 3.5 Various Estimates of Variance; 3.5.1 Bias and MSE Expressions of the Variance Estimators 327 $a3.5.2 Analysis of the Estimators of the Variance Parameter3.6 Problems; 4 Simple Regression Model; 4.1 Introduction; 4.2 Estimation and Testing of ?; 4.2.1 Estimation of ?; 4.2.2 Test of Intercept Parameter; 4.2.3 Estimators of ? and ?; 4.3 Properties of Intercept Parameter; 4.3.1 Bias Expressions of the Estimators; 4.3.2 MSE Expressions of the Estimators; 4.4 Comparison; 4.4.1 Optimum Level of Significance of ?_n^PT; 4.5 Numerical Illustration; 4.6 Problems; 5 ANOVA; 5.1 Model Specification; 5.2 Proposed Estimators and Testing; 5.3 Bias, MSE, and Risk Expressions; 5.4 Risk Analysis 327 $a5.4.1 Comparison of ?_n and ?_n5.4.2 Comparison of ?_n_PT and ?_n(?_n); 5.4.3 Comparison of ?_n^S, ?_n , ?n, and ?_n^PT; 5.4.4 Comparison of ?_n^S and ?_n^S+; 5.5 Problems; 6 Parallelism Model; 6.1 Model Specification; 6.2 Estimation of the Parameters and Test of Parallelism; 6.2.1 Test of Parallelism; 6.3 Bias, MSE, and Risk Expressions; 6.3.1 Expressions of Bias, MSE Matrix, and Risks of ?_n, ?_n, ?_n, and ?_n; 6.3.2 Expressions of Bias, MSE Matrix, and Risks of the PTEs of ? and ?; 6.3.3 Expressions of Bias, MSE Matrix, and Risks of the SSEs of ? and ? 327 $a6.3.4 Expressions of Bias, MSE Matrix, and Risks of the PRSEs of ? and ?6.4 Risk Analysis; 6.5 Problems; 7 Multiple Regression Model; 7.1 Model Specification; 7.2 Shrinkage Estimators and Testing; 7.3 Bias and Risk Expressions; 7.3.1 Balanced Loss Function; 7.3.2 Properties; 7.4 Comparison; 7.5 Problems; 8 Ridge Regression; 8.1 Model Specification; 8.2 Proposed Estimators; 8.3 Bias, MSE, and Risk Expressions; 8.3.1 Biases of the Estimators; 8.3.2 MSE Matrices and Risks of the Estimators; 8.4 Performance of the Estimators; 8.4.1 Comparison between ?_n(k), ?_n^S(k), and ?_n^S+(k) 327 $a8.4.2 Comparison between ?_n (k) and ?_n^PT (k) 330 $a"This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observations Emphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematics Contains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topic Addresses linear regression models with non-normal errors with practical real-world examples Uniquely addresses regression models in Student's t-distributed errors and t-models Supplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher "--$cProvided by publisher. 606 $aRegression analysis 606 $aMultivariate analysis 615 0$aRegression analysis. 615 0$aMultivariate analysis. 676 $a519.536 686 $aMAT029030$aMAT029010$aMAT029020$2bisacsh 700 $aSaleh$b A. K. Md. Ehsanes$0150888 702 $aArashi$b M. 702 $aTabatabaey$b S. M. M. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910831051103321 996 $aStatistical inference for models with multivariate t-distributed errors$94028021 997 $aUNINA