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Course prerequisite: ST512 Optional text: Schabenberger, O. and Gotway, C. A. (2005). Statistical Methods for Spatial Data Analysis. CRC Press. (ISBN:1584883227) Homework: Homework will normally be assigned (as indicated on the homework page) at the end of class each Thursday (due on Tuesday). Unexcused late homework will not be accepted. The final homework average will be computed after dropping the two lowest grades. Examinations: Examinations will be closed book and closed notes. However students will be permitted to bring one 8½ by 11 inch sheet of notes (both sides) to the midterm exam and two to the final exam. The final exam will be cumulative, but weighted towards the materials covered after the midterm. Practice Problems: [Practice Problems - I | Practice Problems - II] Exam schedule:
Asking questions: If you have questions
about lectures, homework assignments, exams, procedures or any other aspect of
the course please log onto http://courses.ncsu.edu/
, follow the links to "ST" and "ST733" and click on "Message
Board". Then click on "Post New Topic", enter your question
in the Message box, and click on "Submit Message". You will receive a
response from me or another student. Everyone in the class will be able see your
question and the response.
Anonymous mail: If you wish to send me an anonymous suggestion or reminder, send email to st733-001-comments@wolfware.ncsu.edu. The system will remove mail headers, but you must remember to removes your signature and other identifying information. Grading System: Final grade will be based on: Final Semester Score = (3xHW + 3xM + 4×F)/10 where HW is the homework average (out of 100) after dropping the two lowest scores and M and F are the scores (out of 100) on the midterm and the final exam. Grades will be assigned on the ± scale. Auditing: Auditors are expected to attend class regularly and submit homework on the same schedule as the other students. The final grade for auditors (AU or NR) will be based on their final homework average. A homework score of 75 or better is required for an AU. Policy on Academic Integrity: The University policy on academic integrity is spelled out in Appendix L of the NCSU Code of Student Conduct. For a more though elaboration see the NCSU Office of Student Conduct website. For this course group work on homework is encouraged. However copying someone else's work and calling them your own is plagiarism, so the work you turn in should be your own. Students with Disabilities: Reasonable accommodations will be made for students with verifiable disabilities. In order to take advantage of available accommodations, students must register with Disability Services for Students (DSS), 1900 Student Health Center, CB# 7509, 515-7653. Reference material (Have requested these be on reserve at DH Hill Library): Millard, S. P. and Neerchal, N. K. (2000). Environmental Statistics with S-PLUS. CRC Press Kanevski, M. and Maignan, M. (2004). Analysis and Modelling of Spatial Environment Data. CRC Press |
Course objectives:
The objective of this course, ST733, is to develop a calculus-level understanding and working knowledge of spatial models. The course provides an introduction to the rudiments of statistical inference based on spatially correlated data. Mehtod of estimation and testing will be developed for geostatistical models based on variograms and spatial autogressive models. Concepts, methods and applications are emphasized, rather than theory. Successful completion of this course will provide you with a foundation for understanding spatial statistical inference material presented in other courses. Students taking the course will have completed both ST512. Syllabus: In ST733 we shall complete the following concepts.
Last updated on: February 25, 2005 |