02959nam a22002537a 450000500170000000800410001702000180005804000180007608200240009410000300011824500560014825000120020426000460021630000290026250015610029150502600185265000600211265000350217265000610220794200340226899900190230295201920232195201920251320250506161213.0250429b        |||||||| |||| 00| 0 eng d  a9789391820312  cAIMIT LIBRARY  21a330.015195bSENJ  aSengupta, Jhumur.9209107  aIntroduction to econometrics /cBy Jhumur Sengupta.  a1st ed.  aNew Delhi :bSultan Chand & Sons ,c2023.  axvi,174p. ;bPBc22.3 cm  aThe book is intended for the Core Course on “Introductory Econometrics” for Economics Honours students at the Undergraduate level according to the National Education Policy (NEP), 2020 and Choice Based Credit System syllabus. All the UGC-recognized Universities are the potential users of the book. In addition, the book covers a part of the UGC NET Syllabus. Students and researchers who want to learn basic Econometric theory will find the book very useful. The book addresses the basic theories of Econometrics in a clear and lucid manner.

Salient Fetures
The book covers topics including regression models, parameter estimation techniques, properties of the estimators, statistical testing and model specification problems in detail.
Elementary concepts of statistics have been provided in Chapter 1 of the book. For ease of understanding, chapters on advanced topics are covered in the later part of the book.
Statistical and mathematical derivations are used in the book in a thorough manner for the students and researchers who do not have any exposure to the course Econometrics.
Each chapter contains several examples and exercise problems illustrating the applications of econometric theories.
Some of the examples and exercise problems have been taken from the UGC NET Examination, Examinations at several Universities and Competitive Examinations.
Every effort has been made to explain the basic theories in a simple way for easy understanding of the subject.
A discussion on Computer Packages STATA and R is given in the Appendix Section.  a
Contents: 

Nature and Scope of Econometrics
Estimation of Classical Linear Regression Model
Properties of Least Square Estimators
Statistical Inference in Linear Regression Model
Data Problems & Violations of Classical Assumptions
Specification Analysis  aEstimation of classical linear regression model9209108  aSpecification analysis9209109  aStatistical inference in linear regression model9209110  2ddccBKe1stk330.015195 SENJ  c234265d234265  00102ddc40708MBAaAIMITbAIMITcECOd2025-03-14eBiblios Book Pointg295.00iBill no:7467; Bill dt:2025/3/11l0o330.015195 SENJpMBA15062r2026-05-23 00:00:00v250.75w2025-04-29yBK  00102ddc40708MBAaAIMITbAIMITcECOd2025-03-14eBiblios Book Pointg295.00iBill no:7467; Bill dt:2025/3/11l0o330.015195 SENJpMBA15063r2026-05-23 00:00:00v250.75w2025-04-29yBK