INTRODUCTION TO STATISTICS AND ECONOMETRICS TAKESHI AMEMIYA PDF

This outstanding text by a foremost econometrician combines instruction in probability and statistics with econometrics in a rigorous but relatively nontechnical manner. Unlike many statistics texts, it discusses regression analysis in depth. And unlike many econometrics texts, it offers a thorough treatment of statistics. Although its only mathematical requirement is multivariate calculus, it challenges the student to think deeply about basic concepts. The coverage of probability and statistics includes best prediction and best linear prediction, the joint distribution of a continuous and discrete random variable, large sample theory, and the properties of the maximum likelihood estimator.

Author:Mezimuro Fekree
Country:Serbia
Language:English (Spanish)
Genre:Love
Published (Last):15 October 2014
Pages:471
PDF File Size:11.38 Mb
ePub File Size:3.27 Mb
ISBN:573-2-13490-228-1
Downloads:60721
Price:Free* [*Free Regsitration Required]
Uploader:Kigajind



In order to set up a list of libraries that you have access to, you must first login or sign up. Then set up a personal list of libraries from your profile page by clicking on your user name at the top right of any screen.

You also may like to try some of these bookshops , which may or may not sell this item. The National Library may be able to supply you with a photocopy or electronic copy of all or part of this item, for a fee, depending on copyright restrictions. Separate different tags with a comma. To include a comma in your tag, surround the tag with double quotes.

Please enable cookies in your browser to get the full Trove experience. Skip to content Skip to search. Amemiya, Takeshi. Published Cambridge, Mass. Language English View all editions Prev Next edition 1 of 2. Author Amemiya, Takeshi. Subjects Economics. Econometrische modellen. Statistische Methodenlehre. Econometrics Contents 1. Introduction 2.

Probability 3. Random Variables and Probability Distributions 4. Moments 5. Binomial and Normal Random Variables 6. Large Sample Theory 7. Point Estimation 8. Interval Estimation 9. Tests of Hypotheses Bivariate Regression Model Elements of Matrix Analysis Multiple Regression Model Econometric Models Appendix: Distribution Theory.

Notes Includes index. Bibliography: p. Includes bibliographical references p. View online Borrow Buy Freely available Show 0 more links Set up My libraries How do I set up "My libraries"?

Not open to the public ; Australian National University Library. Open to the public. Deakin University Library. Edith Cowan University Library. La Trobe University Library. Open to the public ; Borchardt Library, Melbourne Bundoora Campus. Macquarie University Library. Open to the public ; HB Monash University Library. Open to the public ; YY Gardens Point Campus Library. The University of Melbourne Library.

University of Queensland Library. Barr Smith Library. University Library. University of Western Australia Library. Hawkesbury Campus Library. A Book; Illustrated English Show 0 more libraries None of your libraries hold this item. Found at these bookshops Searching - please wait We were unable to find this edition in any bookshop we are able to search. These online bookshops told us they have this item:. Other suppliers National Library of Australia - Copies Direct The National Library may be able to supply you with a photocopy or electronic copy of all or part of this item, for a fee, depending on copyright restrictions.

Tags What are tags? Add a tag. Public Private login e. Add a tag Cancel Be the first to add a tag for this edition. Lists What are lists?

Login to add to list. Be the first to add this to a list. Comments and reviews What are comments? Add a comment. Australian College of Applied Psychology. Australian National University. Deakin University. Edith Cowan University. La Trobe University. Macquarie University.

Monash University. National Library of Australia. Queensland University of Technology. The University of Melbourne. The University of Queensland. University of Adelaide. University of Technology Sydney. University of Western Australia. Western Sydney University.

KALNIRNAY 2008 PDF

Introduction to Statistics and Econometrics

Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? This outstanding text by a foremost econometrician combines instruction in probability and statistics with econometrics in a rigorous but relatively nontechnical manner. Unlike many statistics texts, it discusses regression analysis in depth. And unlike many econometrics texts, it offers a thorough treatment of statistics. Although its only mathematical requirement is multivariate calculus, it challenges the student to think deeply about basic concepts. The coverage of probability and statistics includes best prediction and best linear prediction, the joint distribution of a continuous and discrete random variable, large sample theory, and the properties of the maximum likelihood estimator.

KIP THORNE BLACK HOLES AND TIME WARPS PDF

Introduction to statistics and econometrics / Takeshi Amemiya.

We use cookies to give you the best possible experience. By using our website you agree to our use of cookies. Dispatched from the UK in 3 business days When will my order arrive? Home Contact us Help Free delivery worldwide. Free delivery worldwide. Bestselling Series. Harry Potter.

ANDANTE RONDO DOPPLER PDF

Addressing the dearth of literature that has been written on this key aspect of economic history, Takeshi Amemiya, a well known leading economist based at Stanford University, analyzes the two diametrically opposed views about the exact nature of Takeshi Amemiya has made a significant contribution to econometric theory over the past 30 years. This volume brings together 34 of his key articles and papers on areas such as limited dependent variables, non-linear simultaneous equations models, Introduction to Statistics and Econometrics covers probability and statistics, with emphasis on certain topics that are important in econometrics but often overlooked by statistics textbooks at this level A thorough analysis of the problem of choosing estimators is given, including a comparison of various criteria for ranking estimators. The author also presents a critical evaluation of the classical method of hypothesis testing, especially in the realistic case of testing two composite hypothesis against each other. Quarterly Journal of Applied Mathematics.

Related Articles