Ãëàâíàÿ    Ex Libris    Êíèãè    Æóðíàëû    Ñòàòüè    Ñåðèè    Êàòàëîã    Wanted    Çàãðóçêà    ÕóäËèò    Ñïðàâêà    Ïîèñê ïî èíäåêñàì    Ïîèñê    Ôîðóì   
blank
Àâòîðèçàöèÿ

       
blank
Ïîèñê ïî óêàçàòåëÿì

blank
blank
blank
Êðàñîòà
blank
Hamilton J.D. — Time Series Analysis
Hamilton J.D. — Time Series Analysis



Îáñóäèòå êíèãó íà íàó÷íîì ôîðóìå



Íàøëè îïå÷àòêó?
Âûäåëèòå åå ìûøêîé è íàæìèòå Ctrl+Enter


Íàçâàíèå: Time Series Analysis

Àâòîð: Hamilton J.D.

Àííîòàöèÿ:

The last decade has brought dramatic changes in the way that researchers analyze time series data. This much-needed book synthesizes all of the major recent advances and develops a single, coherent presentation of the current state of the art of this increasingly important field. James Hamilton provides for the first time a thorough and detailed textbook account of important innovations such as vector autoregressions, estimation by generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, Hamilton presents traditional tools for analyzing dynamic systems, including linear representations, autocovariance, generating functions, spectral analysis, and the Kalman filter, illustrating their usefulness both for economic theory and for studying and interpreting real-world data. This book is intended to provide students, researchers, and forecasters with a definitive, self-contained survey of dynamic systems, econometrics, and time series analysis. Starting from first principles, Hamilton's lucid presentation makes both old and new developments accessible to first-year graduate students and nonspecialists. Moreover, the work's thoroughness and depth of coverage will make Time Series Analysis an invaluable reference for researchers at the frontiers of the field. Hamilton achieves these dual objectives by including numerous examples that illustrate exactly how the theoretical results are used and applied in practice, while relegating many details to mathematical appendixes at the end of chapters. As an intellectual roadmap of the field for students and researchers alike, this volume promises to be the authoritative guide for years to come.


ßçûê: en

Ðóáðèêà: Ìàòåìàòèêà/

Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö

ed2k: ed2k stats

Ãîä èçäàíèÿ: 1994

Êîëè÷åñòâî ñòðàíèö: 820

Äîáàâëåíà â êàòàëîã: 14.09.2007

Îïåðàöèè: Ïîëîæèòü íà ïîëêó | Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
blank
Ïðåäìåòíûé óêàçàòåëü
Eigenvectors      729—730
Elasticity, logarithms and      717—718
EM algorithm      688—689 696
Endogenous variables      225—226
Engle, Robert F.      227 387 571 575 596 661 664 667 668 670 671 672 698
Ergodic Markov chain      681—682
Ergodicity      46—47
Error-correction representation      580—581
Euler equations      422
Euler relations      716—717
Evans, G.B.A.      216 488 516
Everitt, B.S.      689
exchange rates      572 582—586 598 647—648
Exclusion restrictions      244
Expectation      740
Expectation of infinite sum      52
Expectation, adaptive      440
Expectation, conditional      72—73 742
Expectation, stochastic processes and      43—45
Exponential, functions      714—715
Exponential, smoothing      440
F distribution      205—207 357 746 756—760
Fair, Ray C.      412 425 426
Fama, Eugene F.      306 360 376
Feige, Edgar L.      305
Ferguson, T.S.      411
Ferson, Wayne E.      664
Filardo, Andrew J      690
Filters      63—64 169—172 277—279 see
Filters, multivariate      264
FIML      see "Full-information maximum likelihood"
First-difference operator      436
First-order autoregressive process      53—56
First-order autoregressive process, asymptotic distribution and      215 486—504
First-order difference equations      1—7
First-order difference equations, lag operators and      27—29
First-order moving average      48—49
Fisher effect      651
Fisher, Franklin M.      246 247
Flavin, Marjorie A.      216 335
Fletcher, R.      139—142
Forecasts/forecasting for Gaussian processes      100—102
Forecasts/forecasting for noninvertible MA      97
Forecasts/forecasting, AR process      80—82
Forecasts/forecasting, ARMA processes      83—84
Forecasts/forecasting, Box — Jenkins methods      109—110
Forecasts/forecasting, conditional expectation and      72—73
Forecasts/forecasting, finite number of observations and      85—87
Forecasts/forecasting, infinite number of observations and      77—84
Forecasts/forecasting, Kalman filter and      381—385
Forecasts/forecasting, linear projection and      74—76 92—100
Forecasts/forecasting, MA process      82—83 95—98
Forecasts/forecasting, macroeconomic      109
Forecasts/forecasting, Markov chain and      680
Forecasts/forecasting, nonlinear      73 109
Forecasts/forecasting, unit root process and      439—441
Forecasts/forecasting, vectors      77
Fractional integration      448—449
frequency      708
Frequency domain      see "Spectral analysis"
Friedman, Milton      440
Full-information maximum likelihood (FIML)      247—250 331—332 see full-information
Fuller, Wayne A.      152 153 164 275 454 464 475 476 483 488 493 506 516
Functional central limit theorem      479—486
Fundamental innovation      67 97 260
Gagnon, Joseph E.      444
Gain      275
Gain, Kalman      380
Galbraith, J.I.      124 133
Galbraith, R.F.      124 133
Gallant, A. Ronald      283 412 421 427 431 672
Gamma distribution      355
Gamma function      355
Garber, Peter M.      426
Gauss — Markov theorem      203 222
Gaussian distribution      745—746 748—749 751—752
Gaussian forecasting      100—102
Gaussian kernel      671
Gaussian process      46
Gaussian white noise      25 43 48
Gaussian, maximum likelihood estimation for Gaussian AR process      118—127
Gaussian, maximum likelihood estimation for Gaussian ARMA process      132—133
Gaussian, maximum likelihood estimation for Gaussian MA process      127—131
Generalized error distribution      668
Generalized least squares (GLS), autocorrelated disturbances      221—222
Generalized least squares (GLS), covariance matrix and      220—221
Generalized least squares (GLS), estimator      221
Generalized least squares (GLS), heteroskedastic disturbances      221
Generalized least squares (GLS), maximum likelihood estimation and      222
Generalized method of moments (GMM), ARCH models      664
Generalized method of moments (GMM), asymptotic distribution of      414—415
Generalized method of moments (GMM), estimation by      409—415
Generalized method of moments (GMM), estimation of dynamic rational expectation models      422—424
Generalized method of moments (GMM), examples of      415—424
Generalized method of moments (GMM), extensions      424—427
Generalized method of moments (GMM), identification (econometric) and      426
Generalized method of moments (GMM), information matrix equality      429
Generalized method of moments (GMM), instrumental variable estimation      418—420
Generalized method of moments (GMM), instruments of choice for      426—427
Generalized method of moments (GMM), maximum likelihood estimation and      427—431
Generalized method of moments (GMM), nonlinear systems of simultaneous equations      421—422
Generalized method of moments (GMM), nonstationary data      424
Generalized method of moments (GMM), optimal weighting matrix      412—414
Generalized method of moments (GMM), ordinary least squares and      416—418
Generalized method of moments (GMM), orthogonality conditions      411
Generalized method of moments (GMM), overidentifying restrictions      415
Generalized method of moments (GMM), specification testing      415 424—426
Generalized method of moments (GMM), testing for structural stability      424—426
Generalized method of moments (GMM), two-stage least squares and      420—421
Geometric series      713 732
Gevers, M.      388
Geweke, John      305 313—314 365 449 670
Ghosh, Damayanti      389
Ghysels, Eric      426
Giannini, Carlo      334 336 650
Gibbons, Michael R.      376
Global identification      388
Global maximum      134 137 226
Glosten, Lawrence R.      663 669 672
GLS      see "Generalized least squares"
GMM      see "Generalized method of moments"
gnp      see "Gross national product"
Goldfeld, Stephen M.      1 3
Gonzalez-Rivera, Gloria      672
Goodwin, Thomas H.      698
Gourieroux, C.      431 670
Gradient      735—736
Granger causality test      302—309
Granger representation theorem      582
Granger, C.W.J.      126 291 302—309 448 449 557 571 581—582
Gregory, Allan W.      214
Grid search      133—134
Griffiths, William E.      142 148 227
Gross national product      112 307 444 450 697—698 see "Industrial "Recessions"
Hall, Alastair      426 427 530 532
Hall, B.H.      142 661
Hall, P.      481 482
Hall, R.E.      142 361 661
Hamilton, James D.      307 388 397 444 662 689 695 698
Hammersley, J.M.      365
Hand, D.J.      689
Handscomb, D.C.      365
Hannan, E.J.      47 133 388
Hansen, Bruce E.      589 596 601 613—618 651 698
Hansen, Lars P.      67 218 280 335 409 411 412 414 415 419 421 422 424
Harvey, A.C.      226 386
Haug, Alfred A.      596
Haugh, Larry D.      305
Hausman, J.A.      142 247 661
Hendry, David F.      571 572 581
Hessian matrix      139 736
Heteroskedasticity      217—220 227 see "Newey
Heteroskedasticity, consistent standard error      219 282—283
Heteroskedasticity, GLS and      221
Heyde, C.C.      481 482
Higgins, M.L.      670 672
Hill, R. Carter      142 148 227
Hoel, Paul G.      704
Hoelder's inequality      197
Hoerl, A.E.      355
Hong, Y.S.      671 672
Hood, William C.      638
Hosking, J.R.M.      448
Hsieh, David A.      662 672
Hypothesis tests, cointegration and      601—618 645—650
Hypothesis tests, efficient score      430
Hypothesis tests, Lagrange multiplier      145 430
Hypothesis tests, likelihood ratio      144—145 296—298
Hypothesis tests, linear restrictions      205
Hypothesis tests, nonlinear restrictions      214 429—430
Hypothesis tests, time trends and      461—463
Hypothesis tests, Wald      205 214 429—430
I(d)      see "Integrated of order d"
I.i.d.      746
Idempotent      201
Identification      110 243—246
Identification, covariance restrictions      246—247
Identification, exclusion restrictions      244
Identification, global      388
Identification, GMM and      426
Identification, just identified      250
Identification, Kalman filter and      387—388
Identification, local      334 388
Identification, order condition      244 334
Identification, overidentified      250
Identification, rank condition      244 334
Identification, structural VAR      332
Identity matrix      722
Imaginary number      708
Imhof, J.P.      216
Impulse-response function, calculating by simulation      10
Impulse-response function, orthogonalized      322
Impulse-response function, standard errors      336—340
Impulse-response function, univariate system      5
Impulse-response function, vector autoregression and      318—323
Independence, linear      728 729—730
Independence, random variables      742
Industrial production      167
Inequalities, Cauchy — Schwarz      49 745
Inequalities, Chebyshev's      182—183
Inequalities, Hoelder      197
Inequalities, triangle      70
Inequality constraints      146—148
Infinite-order moving average      51—52
Information matrix      143—144
Information matrix equality      429
Innovation, fundamental      67
Instrumental variable (IV) estimation      242—243 418—420
Instruments      238 253 426—427
Integrals, definite      719—721
Integrals, indefinite      718—719
Integrals, multiple      738—739
Integrated of order d      437 448
Integrated process      437 see
Integrated process fractional      448—449
Integration      718
Integration, constant of      719
Interest rates      376 501 511—512 528 651
Invertibility      64—68
IV      see "Instrumental variable (IV) estimation"
Jacobian matrix      737
Jagannathan, R.      663 669 672
Janacek, G.J.      127
Jeffreys, H.      533
Jenkins, Gwilym M.      72 109—110 111 132 133
Johansen's algorithm      635—638
Johansen, Soren      590 601 635—636 640 646 649 650 651
Johnston, J.      704
Joint density      741
Joint density-distribution      686
Jordan decomposition      730—731
Jorgenson, D.W.      421
Jorion, Philippe      662
Joyeux, Roseiyne      448
Judge, George G.      142 148 227
Kadane, Joseph B.      363—365
Kalman filter, autocovariance-generating function and      391—394
Kalman filter, background of      372
Kalman filter, derivation of      377—381
Kalman filter, estimating ARMA processes      387
Kalman filter, forecasting and      381—385
Kalman filter, gain matrix      380
Kalman filter, identification      387—388
Kalman filter, MA(1) process and      381—384
Kalman filter, maximum likelihood estimation and      385—389
Kalman filter, parameter uncertainty      398
Kalman filter, quasi-maximum likelihood and      389
Kalman filter, smoothing and      394—397
Kalman filter, state-space representation of dynamic system      372—377
Kalman filter, statistical inference with      397—398
Kalman filter, steady-state      389—394
Kalman filter, time-varying parameters      399—403
Kalman filter, Wold representation and      391—394
Kalman, R.E.      372
Kane, Alex      672
Keating, John W.      335
Kelejian, Harry      226
Kennard, R.W.      355
Kernel estimates      165—167 see
Kernel estimates, Bartlett      167 276—277
Kernel estimates, Gaussian      671
Kernel estimates, Parzen      283
Kernel estimates, quadratic spectral      284
Khinchine's theorem      183
Kiefer, Nicholas M.      689
Kim, K.      513 516
Kinderman, A.J.      216
King, Robert G.      426 573
Kloek, T.      365
Kocherlakota, N.R.      426
Koopmans, T.C.      638
Koreisha, Sergio      133
Kremers, J.J.M.      573
Kronecker product      265 732—733
Kroner, Kenneth F.      658 665 668 670
kurtosis      746
Kwiatkowski, Denis      532
Laffont, J.J.      305 421
Lafontaine, Francine      214
Lag operator, first-order difference equations and      27—29
Lag operator, initial conditions and unbounded sequences      36-42
Lag operator, polynomial      27
Lag operator, pth-order difference equations and      33—36
Lag operator, purpose of      26
Lag operator, second-order difference equations and      29—33
Lagrange multiplier      135 145 430
Laird, N.M.      387 689
Lam, Pok-sang      450 532 691
Lamoureux, Christopher G.      672
Lastrapes, William D.      672
Law of iterated expectations      742
Law of iterated projections      81 100
Law of Large Numbers      183 749
Law of large numbers, covariance-stationary processes      186—189
Law of large numbers, mixingales      190—192
Leadbetter, M.R.      157
Leamer, Edward      335 355
Lee, Joon-Haeng      690 691
Lee, Tsoung-Chao      142 148 227
LeRoy, Stephen F.      335
1 2 3 4
blank
Ðåêëàìà
blank
blank
HR
@Mail.ru
       © Ýëåêòðîííàÿ áèáëèîòåêà ïîïå÷èòåëüñêîãî ñîâåòà ìåõìàòà ÌÃÓ, 2004-2024
Ýëåêòðîííàÿ áèáëèîòåêà ìåõìàòà ÌÃÓ | Valid HTML 4.01! | Valid CSS! Î ïðîåêòå