|
|
|
|
LEADER |
01955cam a22003374a 4500 |
003 |
HCCL |
005 |
20180416175708.0 |
008 |
180416b xxu||||| |||| 00| 0 eng d |
020 |
|
|
|a 9971513838
|
020 |
|
|
|a 9788126510955
|
020 |
|
|
|a 8126510951
|
040 |
|
|
|a HCCL
|
041 |
|
|
|a English
|
082 |
0 |
0 |
|a 330.0151
|b MAI
|
100 |
1 |
|
|a Maddala, G. S.
|
245 |
1 |
0 |
|a Introduction to econometrics
|c by G.S. Maddala
|
250 |
|
|
|a 3rd ed.
|
260 |
|
|
|a Chichester ;
|a New York
|b John Wiley
|c 2002
|
300 |
|
|
|a xxvii, 636 p.
|b ill.
|
500 |
|
|
|a Includes index and appendix
|
505 |
|
|
|a Linear regression model Econometrics Statistical background and matrix algebra Simple regression Multiple regression Assumptions of the Basic model Heteroskedasticity Autocorrelation Multicollinearity Dummy variables and truncated variables Simultaneous equation models Nonlinear regression , models of expectations and nonnormality Errors in variables Diagnostic checking, model selection and specification testing Introduction to time series analysis Vector autoregressions, unit roots and cointegration Panel data analysis Large sample theory Small-sample inference: resampling methods
|
650 |
|
0 |
|a ECONOMICS
|
650 |
|
0 |
|a ECONOMETRICS.
|
650 |
|
0 |
|a ECONOMICS -- MATHEMATICAL
|
942 |
|
|
|c BK
|
997 |
|
|
|c KohaHCC.337
|d 337
|
998 |
|
|
|a Heramba Chandra College
|c http://199.247.15.162:8000/cgi-bin/koha/opac-detail.pl?biblionumber=337
|d 337
|
999 |
|
|
|c 337
|d 337
|
952 |
|
|
|0 0
|1 0
|4 0
|6 330_015100000000000_MAI
|7 0
|9 1115
|a HCCSL
|b HCCSL
|c GEN
|d 2016-03-17
|o 330.0151 MAI
|p 787-7
|r 2016-03-17
|w 2016-07-19
|y BK
|x Data entered by Babli Raha
|
952 |
|
|
|0 0
|1 0
|4 0
|6 330_015100000000000_MAI
|7 0
|9 1116
|a HCCSL
|b HCCSL
|c GEN
|d 2016-03-17
|o 330.0151 MAI
|p 1250-7
|r 2016-03-17
|w 2016-07-19
|y BK
|x Data entered by Babli Raha
|
952 |
|
|
|0 0
|1 0
|2 ddc
|4 0
|6 330_015100000000000_MAI
|7 0
|9 1117
|a HCCSL
|b HCCSL
|c GEN
|d 2016-03-17
|o 330.0151 MAI
|p 7512-0
|r 2016-03-17
|t 2007
|w 2016-07-19
|y BK
|x Data entered by Babli Raha
|