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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2 Final//EN"><!--Converted with LaTeX2HTML 2002-2 (1.70)original version by: Nikos Drakos, CBLU, University of Leeds* revised and updated by: Marcus Hennecke, Ross Moore, Herb Swan* with significant contributions from: Jens Lippmann, Marek Rouchal, Martin Wilck and others --><HTML><HEAD><TITLE>Logistics</TITLE><META NAME="description" CONTENT="Logistics"><META NAME="keywords" CONTENT="web1"><META NAME="resource-type" CONTENT="document"><META NAME="distribution" CONTENT="global"><META NAME="Generator" CONTENT="LaTeX2HTML v2002-2"><META HTTP-EQUIV="Content-Style-Type" CONTENT="text/css"><LINK REL="STYLESHEET" HREF="web1.css"><LINK REL="next" HREF="node2.html"><LINK REL="previous" HREF="web1.html"><LINK REL="up" HREF="web1.html"><LINK REL="next" HREF="node2.html"></HEAD><BODY ><!--Navigation Panel--><A NAME="tex2html122" HREF="node2.html"><IMG WIDTH="37" HEIGHT="24" ALIGN="BOTTOM" BORDER="0" ALT="next" SRC="file:/home/depot/swtree/depot/latex2html-2002-2/latex2html-2002-2/icons/next.png"></A> <A NAME="tex2html120" HREF="web1.html"><IMG WIDTH="26" HEIGHT="24" ALIGN="BOTTOM" BORDER="0" ALT="up" SRC="file:/home/depot/swtree/depot/latex2html-2002-2/latex2html-2002-2/icons/up.png"></A> <A NAME="tex2html114" HREF="web1.html"><IMG WIDTH="63" HEIGHT="24" ALIGN="BOTTOM" BORDER="0" ALT="previous" SRC="file:/home/depot/swtree/depot/latex2html-2002-2/latex2html-2002-2/icons/prev.png"></A> <BR><B> Next:</B> <A NAME="tex2html123" HREF="node2.html">Outline</A><B> Up:</B> <A NAME="tex2html121" HREF="web1.html">Introduction to the Bootstrap</A><B> Previous:</B> <A NAME="tex2html115" HREF="web1.html">Introduction to the Bootstrap</A><BR><BR><!--End of Navigation Panel--><!--Table of Child-Links--><A NAME="CHILD_LINKS"><STRONG>Subsections</STRONG></A><UL><LI><A NAME="tex2html124" HREF="node1.html#SECTION00011000000000000000">Assignments</A><LI><A NAME="tex2html125" HREF="node1.html#SECTION00012000000000000000">Projects</A><UL><LI><A NAME="tex2html126" HREF="node1.html#SECTION00012100000000000000">General description</A><LI><A NAME="tex2html127" HREF="node1.html#SECTION00012200000000000000">Midterm Project Content</A><LI><A NAME="tex2html128" HREF="node1.html#SECTION00012300000000000000">Final Project Contents</A><UL><LI><A NAME="tex2html129" HREF="node1.html#SECTION00012310000000000000">Data in publications and books:</A><LI><A NAME="tex2html130" HREF="node1.html#SECTION00012320000000000000">Data sources on the Internet:</A><LI><A NAME="tex2html131" HREF="node1.html#SECTION00012330000000000000">Journals:</A></UL></UL><BR><LI><A NAME="tex2html132" HREF="node1.html#SECTION00013000000000000000">Teaching </A><LI><A NAME="tex2html133" HREF="node1.html#SECTION00014000000000000000">Course Web Site</A></UL><!--End of Table of Child-Links--><HR><H1><A NAME="SECTION00010000000000000000">Logistics</A></H1>Time:<BR>MWT: Sequoia 200 11-12.<H2><A NAME="SECTION00011000000000000000">Assignments</A></H2><BODY bgcolor="#FFFFFF">There will be three homeworks to hand in 20 % There will be three labs to hand in 20 % <P>and two bigger projects (midterm and final) 60 %<P><H2><A NAME="SECTION00012000000000000000">Projects</A></H2><BODY bgcolor="#FFFFFF"><B>General instructions:</B><BR>The main component of the projects willbe <A HREF="#soft:matlab">matlab</A>, or <A HREF="#soft:splus">R/Splus</A> functions thatperform certain analyses and produce graphics,these functions should be emailed to meand hardcopies sent to the TA's.<P><UL><LI>First Part due Monday, May, 3rd to be handed in in class.</LI><LI>Completed project: due Friday, June 4, 2004 at 12:00 pm</LI></UL><H3><A NAME="SECTION00012100000000000000">General description</A></H3>The term project should allow you to see the bootstrap applied to yourfield of interest, which also means that you can doa theoretical study if that is your primary interest. <P>Typically the project can be one of the following types, or a combinationof elements from each.<OL><LI>A case study, if you have some original data, and a statisticalproblem that you want to solve with the bootstrap.</LI><LI>A comparative study, you would like to compare performance of the bootstrap with other methods in different situations.</LI><LI>Implementation of a new computational procedure,for instance, you could try and write a gray code program with a clever updatefor other statistics than the correlation coefficient, or use a fancyvariance-reducing technique for the Monte Carlo step, orimprove on the empirical distribution as the estimatorof <IMG WIDTH="19" HEIGHT="16" ALIGN="BOTTOM" BORDER="0" SRC="img1.png" ALT="$F$">.</LI><LI>A theoretical study on how fast the bootstrapestimate converges, and how to improve it.</LI></OL>You are encouraged to talk to the instructor or teaching assistantsabout ideas for a project before you decide on the subject, I willput an appointment calendar on my door, you should take a timeto come and talk with me about your project.<P>Some projects will involve considerably more effort than others, and thushave greater potential to earn an outstanding grade. While the complete projectcounts for 60% of your final grade, the biggest payoff of a morechallenging project is in the opportunity it provides you to solidifyand extend your understanding of the material in the course and toobtain practical experience in applying it to your own researchconcerns. The first part will count 20%, the second, 40%.<P>You may want to do a project using data you have from another course(whether from an experiment or through access to a data set somebodyelse has collected). This may be a good way to apply statistics tosomething you have thought about. If you do a project of this sort,you must make very clear which part of the project is done specificallyfor your statistics course and which part is just a review or copy ofwork you have done for another course. <P><H3><A NAME="SECTION00012200000000000000">Midterm Project Content</A></H3>The first part of the project should be about 5 pages long (without counting the bibliography that should be very complete).Length is not an asset if it is not associatedwith increased content! <OL><LI>A simple and clear exposition of the question you are addressing.</LI><LI>A situation of the problem in the wider context of contemporarystatistics, with a review of available methods for such dataand a few words on their advantages and disadvantages.</LI><LI>A proposed solution to the problem using either the bootstrapor another resampling procedure, with comparative merits of thebootstrapas proposed to other methods.</LI><LI>A flow chart of the various tasks to be undertaken,programming, testing the program on simulated data,testing the program on real data are all reasonable steps.</LI></OL> <P><H3><A NAME="SECTION00012300000000000000">Final Project Contents</A></H3><OL><LI>A theoretical part: explanation of themethodstudied, its properties.</LI><LI>A computational part: an algorithm forimplementing the method in matlab or S-plus,this should also be emailed to the TAs so it can be tested.Make sure your code is readable, so we can eventually do a littletrouble shooting if necessary.</LI><LI>A data-analysis part: actual data are to besubmitted to the method studied, or tables should show comparisons,or theoretical results should be outlined.<P><B>Analysis of a data set with your algorithm:</B> Perform astatistical analysis of some data set from an experiment, survey, orsecondary data source using Matlab Splus. You should pay critical attention to issuesconcerning how the data were collected as well as to the statisticalanalysis. (Depending on the nature of the data and your ownrelationship to it, you may want to give more or less emphasis toexplanation of the data collection.) You should make sure that yourdata set has enough complexity (more than just a couple of variables, anda decent number of observations) to support an interesting analysis.</LI></OL> Computer output should be incorporated in the usual way, i.e. puttables in the text or at the end but do not hand in a pile of uneditedcomputer output. Tables and figures should be numbered andcaptioned. No uncommented output will be considered.The quality of presentation will come into accountfor the final grade. (Incorporation of good qualitygraphics, careful text-processing, no superfluous output).You should put the text of your computer programs in an appendix.<P>Some ideas according to your area of expertise:<UL><LI>Education, Psychology, Social Scientists: Methods such as regression analysis,multivariate analyses, clustering can be bootstrapped usefully.</LI><LI>Biology : Analysis of DNA : distances, phylogeniesare bootstrapped alot.</LI><LI>Econometry : Time Series Data need special treatment becauseof the underlying dependence.</LI></UL>You should consult some of the bootstrap books I have put on reserveat the maths and computer science library.<H4><A NAME="SECTION00012310000000000000">Data in publications and books:</A></H4><UL><LI><EM>Human Development Report</EM>, published annually for the UnitedNations Development Program. There are a number of other statisticalreports from the UN and other international agencies like the InternationalLabor Organization.</LI><LI><EM>Statistical Abstract of the United States</EM>. Full of all sortsof statistical tables.</LI><LI><EM>On the Net(see below), for instance the `Chance' projectof Laurie Snell is very interesting.</EM></LI></UL>Some books in other areas that include data sets are the following:<UL><LI><EM>Data: a Collection of Problems from Many Fields for theStudent and Research Worker</EM>, by D.F. Andrews and A.M. Herzberg</LI><LI><EM>Case Studies in Biometry</EM>, edited by Lange, Ryan, Billard,Brillinger, Conquest and Greenhouse</LI></UL>Also, articles in books and journals sometimes contain the originaldata set and you may have an idea for a different analysis than the onewhich the author did. You should distinguish carefully between what you did andwhat was in the original article.<H4><A NAME="SECTION00012320000000000000">Data sources on the Internet:</A></H4> There is an increasingamount of data available on the Internet. As with other Internetmaterials, there is some gold out there and a lot of pure junk. If youwould like to browse around for data on a topic you are interested in,you can start from the Statistics Department home page<A NAME="tex2html35" HREF="http://www-stat.stanford.edu/links"><TT>http://www-stat.stanford.edu/links</TT></A>, and look under Journal, books, etc...There are special bases on the test for each area :Genbank for genetical data for instance, there are also sportsalmanachs online.<H4><A NAME="SECTION00012330000000000000">Journals:</A></H4> There are many journals which include articleswith statistical analyses at an accessible level; in some cases theoriginal data sets are also included.Psychology, biology and medicine are areas in which manyarticles will include at least some statistics. Talk to instructors inyour field about what journals make use of statistical methods.<UL><LI><EM>Population Studies</EM></LI><LI><EM>Chance</EM> (a popularly-oriented statistics magazine)</LI><LI><EM>Ecology</EM> (particularly Volume 74, No. 6, a special issue onstatistical methods)</LI><LI><EM>Journal of Experimental Zoology</EM></LI><LI><EM>New England Journal of Medicine</EM></LI><LI><EM>Public Opinion Quarterly</EM></LI><LI><EM>Journal of Applied Psychology</EM></LI><LI><EM>Proceedings of National Academy of Sciences,section Evolution</EM></LI></UL><P><H2><A NAME="SECTION00013000000000000000">Teaching </A></H2>Instructor: Susan Holmes.Office hours: Wed at 2.30 andby email appointment to susan@stat.stanford.edu.<P><B>TA's </B> Brit Katzen and Jie-Hua Chen<BR><P>TA's office hours:<BR>Brit Katzen (Sequoia 229) : Wed. 2:15 - 3:45<BR>Jie-Hua (Sequoia 141) :Thur 4.-5<BR><P><H2><A NAME="SECTION00014000000000000000">Course Web Site</A></H2>This will contain a bulletin board, homeworks, course summary,project description list,reading list,links to useful sites with in particular Splus and matlab tutorials,software information, etc...<P>Address:<TT>http://www-stat.stanford.edu/~susan/courses/s208/</TT><P>Weekly consultation of the web site will be necessaryand expected of all students.<P><HR><!--Navigation Panel--><A NAME="tex2html122" HREF="node2.html"><IMG WIDTH="37" HEIGHT="24" ALIGN="BOTTOM" BORDER="0" ALT="next" SRC="file:/home/depot/swtree/depot/latex2html-2002-2/latex2html-2002-2/icons/next.png"></A> <A NAME="tex2html120" HREF="web1.html"><IMG WIDTH="26" HEIGHT="24" ALIGN="BOTTOM" BORDER="0" ALT="up" SRC="file:/home/depot/swtree/depot/latex2html-2002-2/latex2html-2002-2/icons/up.png"></A> <A NAME="tex2html114" HREF="web1.html"><IMG WIDTH="63" HEIGHT="24" ALIGN="BOTTOM" BORDER="0" ALT="previous" SRC="file:/home/depot/swtree/depot/latex2html-2002-2/latex2html-2002-2/icons/prev.png"></A> <BR><B> Next:</B> <A NAME="tex2html123" HREF="node2.html">Outline</A><B> Up:</B> <A NAME="tex2html121" HREF="web1.html">Introduction to the Bootstrap</A><B> Previous:</B> <A NAME="tex2html115" HREF="web1.html">Introduction to the Bootstrap</A><!--End of Navigation Panel--><ADDRESS>Susan Holmes2004-05-19</ADDRESS></BODY></HTML>⌨️ 快捷键说明
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