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The top documents tagged [t statistics]

Econometric Modelling. Introduction To examine some econometric results from various financial models To use the results to determine levels of significance
Econometric Modelling. Introduction To examine some econometric results from various financial models To use the results to determine levels of significance
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Autocorrelation Functions and ARIMA Modelling. Introduction Define what stationarity is and why it is so important to Econometrics Describe the Autocorrelation
Autocorrelation Functions and ARIMA Modelling. Introduction Define what stationarity is and why it is so important to Econometrics Describe the Autocorrelation
223 views
Dummy Dependent variable Models. Introduction Examine the Linear Probability Model (LPM) Critically Appraise the LPM Describe some of the advantages of
Dummy Dependent variable Models. Introduction Examine the Linear Probability Model (LPM) Critically Appraise the LPM Describe some of the advantages of
217 views
A general statistical analysis for fMRI data Keith Worsley 12, Chuanhong Liao 1, John Aston 123, Jean-Baptiste Poline 4, Gary Duncan 5, Vali Petre 2, Frank
A general statistical analysis for fMRI data Keith Worsley 12, Chuanhong Liao 1, John Aston 123, Jean-Baptiste Poline 4, Gary Duncan 5, Vali Petre 2, Frank
212 views
Christopher Dougherty EC220 - Introduction to econometrics (chapter 11) Slideshow: partial adjustment model Original citation: Dougherty, C. (2012) EC220
Christopher Dougherty EC220 - Introduction to econometrics (chapter 11) Slideshow: partial adjustment model Original citation: Dougherty, C. (2012) EC220
222 views
Research Methods Part 4 T- Statistics Partly based on material by Sherry O’Sullivan
Research Methods Part 4 T- Statistics Partly based on material by Sherry O’Sullivan
213 views
Does training AND female representation in extension foster investments?
Does training AND female representation in extension foster investments?
64 views
Applied Linear Regression CSTAT Workshop March 16, 2007 Vince Melfi
Applied Linear Regression CSTAT Workshop March 16, 2007 Vince Melfi
222 views
BIO503: Lecture 4 Statistical models in R Stefan Bentink bentink@jimmy.harvard.edu
BIO503: Lecture 4 Statistical models in R Stefan Bentink [email protected]
213 views
1 PROXY VARIABLES Suppose that a variable Y is hypothesized to depend on a set of explanatory variables X 2,..., X k as shown above, and suppose that for
1 PROXY VARIABLES Suppose that a variable Y is hypothesized to depend on a set of explanatory variables X 2,..., X k as shown above, and suppose that for
218 views
1 Virtual COMSATS Inferential Statistics Lecture-20 Ossam Chohan Assistant Professor CIIT Abbottabad
1 Virtual COMSATS Inferential Statistics Lecture-20 Ossam Chohan Assistant Professor CIIT Abbottabad
219 views
A general statistical analysis for fMRI data
A general statistical analysis for fMRI data
20 views