LEADER 03350nam 2200661 450 001 9910464398003321 005 20200520144314.0 010 $a1-62895-004-8 010 $a1-60917-416-X 035 $a(CKB)3710000000094552 035 $a(EBL)1810023 035 $a(SSID)ssj0001135948 035 $a(PQKBManifestationID)11676394 035 $a(PQKBTitleCode)TC0001135948 035 $a(PQKBWorkID)11101827 035 $a(PQKB)10508329 035 $a(MiAaPQ)EBC3338355 035 $a(OCoLC)878130613 035 $a(MdBmJHUP)muse35259 035 $a(MiAaPQ)EBC1810023 035 $a(Au-PeEL)EBL3338355 035 $a(CaPaEBR)ebr10851552 035 $a(OCoLC)923250695 035 $a(Au-PeEL)EBL1810023 035 $a(EXLCZ)993710000000094552 100 $a20140406h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDangerous friendship $eStanley Levison, Martin Luther King Jr., and the Kennedy brothers /$fBen Kamin 210 1$aEast Lansing, Michigan :$cMichigan State University Press,$d2014. 210 4$dİ2014 215 $a1 online resource (269 p.) 300 $aDescription based upon print version of record. 311 $a1-61186-131-4 320 $aIncludes bibliographical references and index. 327 $aCousin Stanley -- A walk in the Rose Garden -- From far Rockaway to Montgomery -- The Communist -- In friendship -- Harry Belafonte, Janet Levison, and a totally different "Kennedy" -- A stabbing in Harlem -- Stanley knew better -- Senator Kennedy is calling -- Martin, Stanley, and Clarence -- I am not now and have never been a member of the Communist Party -- I have a dream today -- The same thing is going to happen to me -- Lyndon Johnson, ping-pong, and Bobby's transformation -- Selma, Vietnam, and the gathering shadows -- Bobby prays in Indianapolis; Stanley weeps in Atlanta -- Afterword: negroes will not return to passivity. 330 $a The product of long-concealed FBI surveillance documents, Dangerous Friendship chronicles a history of Martin Luther King Jr. that the government kept secret from the public for years. The book reveals the story of Stanley Levison, a well-known figure in the Communist Party-USA, who became one of King's closest friends and, effectively, his most trusted adviser. Levison, a Jewish attorney and businessman, became King's pro bono ghostwriter, accountant, fundraiser, and legal adviser. This friendship, however, created many complications for both men. Because of Levison's former ties to the Comm 517 3 $aStanley Levison, Martin Luther King Jr., and the Kennedy brothers 606 $aAfrican Americans$xCivil rights$xHistory$y20th century 606 $aCivil rights movements$zUnited States$xHistory$y20th century 606 $aCommunists$zUnited States$vBiography 607 $aUnited States$xPolitics and government$y1961-1963 608 $aElectronic books. 615 0$aAfrican Americans$xCivil rights$xHistory 615 0$aCivil rights movements$xHistory 615 0$aCommunists 676 $a323.092/2 700 $aKamin$b Ben$0918163 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910464398003321 996 $aDangerous friendship$92474303 997 $aUNINA LEADER 05462nam 2200649Ia 450 001 9910830481203321 005 20230607215330.0 010 $a1-280-25283-9 010 $a9786610252831 010 $a0-470-30356-5 010 $a0-471-46168-7 010 $a0-471-26698-1 035 $a(CKB)1000000000019008 035 $a(EBL)226533 035 $a(OCoLC)475932701 035 $a(SSID)ssj0000234934 035 $a(PQKBManifestationID)11203275 035 $a(PQKBTitleCode)TC0000234934 035 $a(PQKBWorkID)10241898 035 $a(PQKB)11574365 035 $a(MiAaPQ)EBC226533 035 $a(EXLCZ)991000000000019008 100 $a20020718d2002 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aRegression models for time series analysis$b[electronic resource] /$fBenjamin Kedem, Konstantinos Fokianos 210 $aChichester ;$aHoboken, NJ $cJohn Wiley & Sons, Inc.$dc2002 215 $a1 online resource (361 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 $a0-471-36355-3 320 $aIncludes bibliographical references (p. 297-326) and index. 327 $aRegression Models for Time Series Analysis; Dedication; Contents; Preface; 1 Time Series Following Generalized Linear Models; 1.1 Partial Likelihood; 1.2 Generalized Linear Models and Time Series; 1.3 Partial Likelihood Inference; 1.3.1 Estimation of the Dispersion Parameter; 1.3.2 Iterative Reweighted Least Squares; 1.4 Asymptotic Theory; 1.4.1 Uniqueness and Existence; 1.4.2 Large Sample Properties; 1.5 Testing Hypotheses; 1.6 Diagnostics; 1.6.1 Deviance; 1.6.2 Model Selection Criteria; 1.6.3 Residuals; 1.7 Quasi-Partial Likelihood; 1.7.1 Generalized Estimating Equations 327 $a1.8 Real Data Examples1.8.1 A Note on Computation; 1.8.2 A Note on Model Building; 1.8.3 Analysis of Mortality Count Data; 1.8.4 Application to Evapotranspiration; 1.9 Problems and Complements; 2 Regression Models for Binary Time Series; 2.1 Link Functions for Binary Time Series; 2.1.1 The Logistic Regression Model; 2.1.2 Probit and Other Links; 2.2 Partial Likelihood Estimation; 2.3 Inference for Logistic Regression; 2.3.1 Asymptotic Relative Eficiency; 2.4 Goodness of Fit; 2.4.1 Deviance; 2.4.2 Goodness of Fit Based on Response Classification; 2.5 Real Data Examples 327 $a2.5.1 Rainfall Prediction2.5.2 Modeling Successive Eruptions; 2.5.3 Stock Price Prediction; 2.5.4 Modeling Sleep Data; 2.6 Problems and Complements; 3 Regression Models for Categorical Time Series; 3.1 Modeling; 3.2 Link Functions for Categorical Time Series; 3.2.1 Models for Nominal Time Series; 3.2.2 Models for Ordinal Time Series; 3.3 Partial Likelihood Estimation; 3.3.1 Inference for m=3; 3.3.2 Inference for m>3; 3.3.3 Large Sample Theory; 3.3.4 Inference for the Multinomial Logit Model; 3.3.5 Testing Hypotheses; 3.4 Goodness of Fit; 3.4.1 Goodness of Fit Based on Response Classification 327 $a3.4.2 Power Divergence Family of Goodness of Fit Tests3.4.3 A Family of Goodness of Fit Tests; 3.4.4 Further Diagnostic Tools; 3.5 Examples; 3.5.1 Explanatory Analysis of DNA Sequence Data; 3.5.2 Soccer Forecasting; 3.5.3 Sleep Data Revisited; 3.6 Additional Topics; 3.6.1 Alternative Modeling; 3.6.2 Spectral Analysis; 3.6.3 Longitudinal Data; 3.7 Problems and Complements; Appendix: Asymptotic Theory; 4 Regression Models for Count Time Series; 4.1 Modeling; 4.2 Models for Time Series of Counts; 4.2.1 The Poisson Model; 4.2.2 The Doubly Truncated Poisson Model; 4.2.3 The Zeger-Qaqish Model 327 $a4.3 Inference4.3.1 Partial Likelihood Estimation for the Poisson Model; 4.3.2 Asymptotic Theory; 4.3.3 Prediction Intervals; 4.3.4 Inference for the Zeger-Qaqish Model; 4.3.5 Hypothesis Testing; 4.4 Goodness of Fit; 4.4.1 Deviance; 4.4.2 Residuals; 4.5 Data Examples; 4.5.1 Monthly Count of Rainy Days; 4.5.2 Tourist Arrival Data; 4.6 Problems and Complements; 5 Other Models and Alternative Approaches; 5.1 Integer Autoregressive and Moving Average Models; 5.1.1 Branching Processes with Immigration; 5.1.2 Integer Autoregressive Models of Order 1; 5.1.3 Estimation for INAR( 1) Process 327 $a5.1.4 Integer Autoregressive Models of Order p 330 $aA thorough review of the most current regression methods in time series analysisRegression methods have been an integral part of time series analysis for over a century. Recently, new developments have made major strides in such areas as non-continuous data where a linear model is not appropriate. This book introduces the reader to newer developments and more diverse regression models and methods for time series analysis.Accessible to anyone who is familiar with the basic modern concepts of statistical inference, Regression Models for Time Series Analysis provides a much-needed examina 410 0$aWiley series in probability and statistics. 606 $aTime-series analysis 606 $aRegression analysis 615 0$aTime-series analysis. 615 0$aRegression analysis. 676 $a519.55 700 $aKedem$b Benjamin$f1944-$0251532 701 $aFokianos$b Konstantinos$0614210 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830481203321 996 $aRegression models for time series analysis$91129918 997 $aUNINA