{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Intermediate Quant GEO 4167_6161

Intermediate Quant GEO 4167_6161 - Department of Geography...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
Department of Geography UNIVERSITY OF FLORIDA , SPRING 2012 GEO 4167c section #6647 / GEO 6161 section # 8377 Intermediate Quantitative Methods Instructor: Timothy J. Fik, Associate Professor Prerequisite: GEO 3162 / GEO 6160 or equivalent Time/Location: Thursdays, Periods 2-4: 8:30-11:30AM (Turlington 3012) Instructor’s Office: 3137 Turlington Hall Instuctor’s e-mail address: [email protected] (use it sparingly please) OFFICE HOURS: Tuesdays: 8:30AM – 10:30AM; and 2:00PM – 3:45PM Thursdays: 12:30PM – 2:45PM; and 4:00PM – 4:45PM Course Overview GEO 4167x/GEO 6161 surveys various statistical modeling techniques that are widely used in the social, behavioral, and environmental sciences. Lectures will focus on several important topics… including common indices of spatial association and dependence, linear and non-linear model development, diagnostics, and remedial measures. The majority of lectures will be devoted to the topic of Regression Analysis . Applications will involve regression modeling for cross-sectional, quantitative/qualitative/categorical, time-series, and spatial data. Selected topics include, yet are not limited to, the following: Classic Least Squares Regression and Extensions Multiple Regression – methods, interpretation, and evaluation criteria Matrix Algebra approach to Regression & the General Linear Model Join-Count Statistics (Dacey’s Contiguity Tests) Spatial Autocorrelation and Regression Error Assessment Using Dummy Variables Stepwise Regression Procedures Regression Diagnostics (Normality, Heterogeneity of Variance, etc.) Measure of Leverage & Influence (Cook’s distance, Hat values, DFitts, etc.) Interactive Variables Robust Regression Time-Series Analysis (DL, AR, MA, ARMA, and ARIMA models) Model Specification and Functional Form LPM, Probit, and Logistic Regression Models Introduction to Discriminant Analysis (time permitting)
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Course Objectives are three-fold: (1) Familiarize students with procedures, statistics, diagnostics, and remedial measures commonly used in regression modeling/analysis; (2) Allow students to gain experience in applied quantitative methods and modeling through various take-home lab assignments and the completion of a final term project; and (3) Give students experience in preparing a research paper in which they identify a research question and evaluate hypotheses, construct a model, generate statistical results, and present statistical findings. Required and Recommended Reading Materials Basic Econometrics , Damodar Gujarati (2004) 4 th edition – this is the required textbook for course. You are responsible for reading all material covered in this book. Note that although this book is couched from an “econometrics perspective”, the techniques and procedures presented have universal applicability in the social and environmental sciences.
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

Page1 / 6

Intermediate Quant GEO 4167_6161 - Department of Geography...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon bookmark
Ask a homework question - tutors are online