 |
 |
 |
 |
 |
 |
|
Book Order Form
|
* Starred (*) fields are required for successful submisssion of this form
|
|||
|
* First Name :
|
(or initials) | ||
|
* Last Name :
|
|||
|
* Email :
|
|||
|
Department :
|
|||
|
Organisation :
|
|||
|
Address Street :
|
|||
|
(continued)
|
|||
|
City :
|
|||
|
State/Province :
|
( USA and Canada only) | ||
|
Zip/Postal Code :
|
|||
|
*Country :
|
|||
|
Daytime Phone :
|
|||
|
Fax :
|
|||
| Books List : ( You may choose more than one book ) | |||
| Blackwells Publisher: | ||
| Econometric Theory | ||
| Essential Medical Statistics | ||
Cambridge University Press: |
||
| Analysis of Panels & Limited Dependant Variables Models | ||
| Applied Longitudinal Data Analysis for Epidemiology | ||
| Econometric Foundations | ||
| Epidemiology Studies | ||
| Forecasting Economic Time Series | ||
| Forecasting Structural Time Series & the Kalman Filter | ||
| Nonlinear Econometric Modeling in Time Series | ||
| Probability Theory & Statistical Inference | ||
| Regression Analysis of Count Data | ||
| Statistical Modeling for Biomedical Researchers | ||
| The Econometric Modelling of Financial Time Series | ||
| The Econometric of Exchange Rate | ||
| The Foundation of Econometric Analysis | ||
| Unit Roots, Cointegration and Structural Change | ||
Chapman & Hall/CRC: |
||
| Statistical Analyses Using Stata | ||
International Thompson: |
||
| Data Analysis Social Scientists | ||
| Principles Biostatics | ||
| Simulation Modelling Using @risk | ||
| Statistics with Stata | ||
John Wiley: |
||
| Analysis of Health Survey | ||
| Applied Econometric Time Series | ||
| Applied Logistics Regression | ||
| Applied Mixed Models in Medicine | ||
| Applied Regression Analysis | ||
| Applied Survival Analysis: Regression Modeling of Time to Event Data | ||
| Applied Time Series Modelling and Forecasting | ||
| Computing Skills for Economists | ||
| Dictionary for Clinical Trials | ||
| Econometrics Analysis of Panel | ||
| Generalized Linear and Mixed Models | ||
| Market Models: A Guide to Financial Data Analysis | ||
| Medical Statistics: A Common Sense Approach | ||
| Method for Meta-Analysis in Medical Research | ||
| RATS: Handbook for Econometric Time Series | ||
| Sampling of Population: Methods and Applications | ||
| Undergraduate Econometrics Using EViews | ||
McGraw-Hill: |
||
| A Computer Handbook Using EViews | ||
| Econometric Models Econometric Forecasts | ||
| TSP Handbook | ||
MIT Press: |
||
| Forecasting Non-Stationary Time Series | ||
Oxford University Press: |
||
| An Introduction to Medical Statistics | ||
| Arch: Selected Reading | ||
| Cointegration, Causality and Forecasting | ||
| Dynamic Econometics | ||
| Econometrics: Alchemy or Science? | ||
| Likelihood-Based Inference in Cointegrated Vector Autoregressive Models | ||
| Making Sense of Data | ||
| Panel Data Econometrics | ||
| Statistical Methods in Cancer Research Volume I: The Analysis of Case-Control | ||
| Statistical Methods in Cancer Research Volume II: The Design and Analysis of Cohort Studies | ||
| Statistical Models Epidemiology | ||
| Time Series Analysis by State Space Methods | ||
| Workbook on Cointegration | ||
Prentice Hall: |
||
| Econometrics Analysis | ||
Stata Press: |
||
| An Introduction to Survival Analysis Using Stata | ||
| Generalized Linear Models & Extensions | ||
| Introduction to Stata Multimedia CD | ||
| Maximum Likelihood Estimation with Stata | ||
| Regression Models for Categorical Dependent Variables Using Stata | ||
Timberlake Consultants Press: |
||
| A Short Introduction for Biostatistics | ||
| An Introduction to the Logit Model for Economists | ||
| Automatic Econometric Model Selection using PcGets | ||
| Econometric Modelling using PcGive Volume III | ||
| GiveWin: An Interface to Empirical Modelling | ||
| Interactive Monte Carlo Experimentation in Econometrics using PcNaive | ||
| Introduction to Ox: An Object-Orientated Matrix Language | ||
| Modelling Dynamic Systems using PcGive Volume II | ||
| Modelling using PcGive Volume I | ||
| Ox: An Object-Oriented Matrix Language | ||
| STAMP: Structural Time Series Analyser, Modeller and Predictor | ||
OR
|
||