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Topic: Nonparametric statistics


  
  Nonparametric Statistics
For small samples, the statistic is compared to what would result if the data were combined into a single data set and assigned at random to two groups having the same number of observations as the original samples.
Roughly speaking, a nonparametric test is test one which makes no hypothesis about the value of a parameter in a statistical density function, whereas a distribution-free test is one which makes no assumptions about the precise form of the sampled population.
distribution-free or nonparametric, that is, free of the assumption that [the underlying distribution of the data] belongs to some parametric family of distributions.
www.tufts.edu /~gdallal/npar.htm   (2914 words)

  
 62: Statistics
Statistics is the science of obtaining, synthesizing, predicting, and drawing inferences from data.
Certainly the greatest field of overlap with Statistics is 60: Probability.
Indeed, the sub-areas 62G05 (nonparametric inference; estimation) and 62M10 (time series) are among the largest of the 5-digit areas.
www.math.niu.edu /~rusin/known-math/index/62-XX.html   (1008 words)

  
 Nonparametric Statistics   (Site not responding. Last check: 2007-10-21)
Without going into too much detail, most common statistical techniques such as analysis of variance (and t- tests), regression, etc. assume that the underlying measurements are at least of interval, meaning that equally spaced intervals on the scale can be compared in a meaningful manner (e.g, B minus A is equal to D minus C).
Nonparametric alternatives to this method are Friedman's two-way analysis of variance and Cochran Q test (if the variable was measured in terms of categories, e.g., "passed" vs. "failed").
On the other hand, nonparametric statistics are less statistically powerful (sensitive) than their parametric counterparts, and if it is important to detect even small effects (e.g., is this food additive harmful to people?) one should be very careful in the choice of a test statistic.
www.statsoft.com /textbook/stnonpar.html   (1917 words)

  
 Nonparametric Statistics   (Site not responding. Last check: 2007-10-21)
Nonparametric statistics usually do not involve inference to a parameter.
Nonparametric tests do not require assumptions about the shape of the underlying distribution.
W is a normalization of the Friedman statistic.
faculty-staff.ou.edu /B/Nancy.H.Barry-1/nonpar.html   (792 words)

  
 Technometrics: Practical Nonparametric Statistics.(Review) (book review)@ HighBeam Research   (Site not responding. Last check: 2007-10-21)
Technometrics; 8/1/2000; Groggel, David J. Practical Nonparametric Statistics (3rd ed.), by W. CONOVER, New York: Wiley, 1999, ISBN 0-471-16068-7, viii + 584 pp., $8895.
This book is designed for use in a one-semester course on nonparametric statistics and also as a quick reference for researchers looking for information on common nonparametric methods.
The author states that "the only absolute prerequisite to reading and understanding this book is a good working knowledge of college algebra, and a modicum of mathematical ability." I found this to be an accurate assessment of the level of presentation in this hook.
www.highbeam.com /library/doc0.asp?DOCID=1G1:64751980&refid=ip_encyclopedia_hf   (179 words)

  
 Statistics Glossary - nonparametric methods
Nonparametric tests are often used in place of their parametric counterparts when certain assumptions about the underlying population are questionable.
Nonparametric tests may be, and often are, more powerful in detecting population differences when certain assumptions are not satisfied.
It is used to test the null hypothesis that two populations have identical distribution functions against the alternative hypothesis that the two distribution functions differ only with respect to location (median), if at all.
www.stats.gla.ac.uk /steps/glossary/nonparametric.html   (744 words)

  
 Nonparametric Statistics
Nonparametric tests are sometimes called distribution free statistics because they do not require that the data fit a normal distribution.
Since nonparametric tests require fewer assumptions and can be used with a broader range of data types, the question becomes, "Why not use them all of the time?" Parametric tests are often preferred because:
The Summary of Statistical Tests should help put into perspective where nonparametric tests fit into what we have learned.
www.uwsp.edu /psych/stat/14/nonparm.htm   (719 words)

  
 Amazon.ca: Books: Practical Nonparametric Statistics, Third Edition   (Site not responding. Last check: 2007-10-21)
At first glance this textbook appears to be a well-written and thorough introduction to nonparametric statistics.
The fact that certain nonparametric methods, such as the Wilcoxon-Mann-Whitney test, produce the same results as parametric methods like the Student t test performed on ranks replacing scores, is valuable information for researchers as well as theorists.
My understanding of the third edition is that it continues to cover the nonparametric procedures that have stood the test of time and that popular modern methods like bootstrap are also covered.
www.amazon.ca /exec/obidos/ASIN/0471160687   (1025 words)

  
 Probability and Statistics Resources
Statistical Home Page, by David C. Howell, This is a Home Page containing statistical material covered in the author's textbooks (Statistical Methods for Psychology and Fundamental Statistics for the Behavioral Sciences), but it will be useful to others not using those book.
Statistics on the Web, by Clay Helberg, Just as the Web itself seems to have unlimited resources, Statistics on the web must have hundreds of sites listing such statistical areas as: Professional Organizations, Institutes and Consulting Groups, Educational Resources, Web courses, and others too numerous to mention.
UCLA Statistics, by Jan de Leeuw, On-line introductory textbook with datasets, Lispstat archive, datasets, and live on-line calculators for most distributions and equations.
www.staff.vu.edu.au /sarath/Business-stats/R.htm   (9224 words)

  
 Lsat-scores.com / Buy Nonparametric Statistics with the Lsat Scores Network   (Site not responding. Last check: 2007-10-21)
Other than information related to nonparametric statistics we also offer the most authoritative web sites concerning education, school and distance learning.
nonparametric statistics - the branch of statistics dealing with variables without making assumptions about the form or the parameters of their distribution statistics - a branch of
Contains three major components: database (data manipulation, comparison, and display), Statistics Wizard (descriptive and comparative statistics, nonparametric tests, correlation, and regression), and Graphics Wizard (creates any kinds of charts)..
www.lsat-scores.com /nonparametric-statistics.htm   (224 words)

  
 Nonparametric Statistics Research Conference   (Site not responding. Last check: 2007-10-21)
Co-Sponsored by Florida State University's Department of Statistics, the College of Arts and Sciences and the Office of Sponsored Research; and the Nonparametric Statistics Section of the American Statistical Association.
To stimulate research in nonparametric statistics and to support the goals of the Nonparametric Statistics Section of the American Statististical Association, the Department of Statistics at Florida State University is hosting a Nonparametric Statistics Research Conference.
The conference will highlight the major trends in several areas of nonparametric statistics, to facilitate the exchange of research ideas, promote collaboration among researchers from the US and Europe, and contribute to the further development of the field.
stat.fsu.edu /nonpar   (369 words)

  
 Amazon.com: Books: Nonparametric Statistical Methods, 2nd Edition   (Site not responding. Last check: 2007-10-21)
Roughly speaking, a nonparametric procedure is a statistical procedure that has certain desirable properties that hold under relatively mild assumptions regarding the underlying populations from which the data are obtained.
Nonparametric Statistics and Related Topics: Proceedings by A. Md. E.
It could be used for a course in nonparametric statistics at the graduate level in Psychology or the social sciences, although I don't think the whole book could be covered in a semester.
www.amazon.com /exec/obidos/tg/detail/-/0471190454?v=glance   (1124 words)

  
 Centre for Methodology of Educational Research
The Centre is responsible for teaching courses on methods and statistics in the educational sciences, as well as for offering methodological and statistical advice to other members of the department.
Research is being conducted in the broad field of methodology and educational statistics.
A second major area of research concerns the use of data-analysis and statistics in the educational sciences, and its links to data-generation (including measurement) and data-structuring (including experimental design).
ppw.kuleuven.be /cmes   (219 words)

  
 Nonparametric Statistics
Nonparametric Statistics (EDRM 712) is a course in the application of nonparametric statistical methods to research problems in education.
The course is offered and governed by the Program of Educational Psychology, Research, and Foundations in the Department of Educational Psychology at the University of South Carolina.
His research interests include statistical education, effect size analysis, and nonparametric statistics.
edpsych.ed.sc.edu /seaman/edrm712   (196 words)

  
 Nonparametric Statistics for The Behavioral Sciences - camerasandreviews.com Tool Info, Pricing, and Reviews   (Site not responding. Last check: 2007-10-21)
This is an excellent first book for nonparametric statistical methods.
It is a cookbook, but is a good introduction to the many nonparametric techniques for assessing data.
Nonparametric Statistics in Health Care Research : Statistics for Small Samples...
www.camerasandreviews.com /shop/asinsearch_0070573573.html   (272 words)

  
 SAGE Publications - Nonparametric Statistics   (Site not responding. Last check: 2007-10-21)
"Nonparametric Statistics is a short and sweet introduction to the five most familiar nonparametric location tests and associated confidence intervals and multiple comparisons.
Using actual research investigations that have appeared in recent social science journals, Jean Dickinson Gibbons shows you the specific methodology and logical rationale for many of the best-known and most frequently used nonparametric methods (that are applicable for most small and large sample sizes).
The methods are organized according to the type of sample structure that produced the data, and the inference types covered are limited to location tests, such as the sign test, the Mann-Whitney-Wilcoxon test, the Kruskal-Wallis test, and Friedman’s test.
www.sagepub.com /book.aspx?pid=2384   (229 words)

  
 nonparametric statistics, Chi-square   (Site not responding. Last check: 2007-10-21)
The statistical tests r, t and F rest on estimates of population parameters
Parametric statistics require assumptions about population distributions (in most cases, normality) for their probability calculations to be correct.
The branch of statistics that concerns testing without estimating parameters is called nonparametric statistics.
www.cofc.edu /~milesd/chisquar.htm   (575 words)

  
 A Taylor & Francis Journal: Journal of Nonparametric Statistics
The Journal of Nonparametric Statistics provides a medium for the publication of research and survey work in the area of nonparametric statistics.
Both the theory and applications of nonparametric statistics are covered in the journal.
Research applying nonparametric methods to medicine, engineering, technology, science and humanities is welcomed, provided the novelty and quality level are of the highest order.
www.tandf.co.uk /journals/titles/10485252.asp   (155 words)

  
 StatCodes -- Nonparametric statistics   (Site not responding. Last check: 2007-10-21)
Includes descriptive statistics, ANOVA, parametric and nonparametric correlation and regression, 1- and 2-sample hypothesis testing, contingency tables with chi-square tets, many nonparametric tests, statistical distributions, and some specialized routines.
Includes moments, trimmed means, median and other location estimates with jackknife and bias-corrected bootstrap confidence intervals, Hartigan dip statistic, goodness-of-fit tests for normality and uniformity, gap detector, outlier detection, and nonparametric tests for symmetry.
A test for partial correlation between three variables, any or all of which are subject to censoring, based on a generalized Kendall's tau.
www.astro.psu.edu /statcodes/sc_nonparam.html   (126 words)

  
 IAP: Statistical techniques and modeling for complex substantive questions with complex data
DAOUIA, A. and L. SIMAR, Robust nonparametric estimators of monotone boundaries.
VAN KEILEGOM, I, A note on the nonparametric estimation of the bivariate distribution under dependent censoring.
The Annals of the Institute of Statistical Mathematics, 55, 4, 737-764, 2003.
www.stat.ucl.ac.be /IAP/publication_reprint.html   (7112 words)

  
 MTQ120.HTM, Nonparametric Statistics and APL functions   (Site not responding. Last check: 2007-10-21)
These functions allow much wider application of non parametric statistics than was previously considered practical.
Categorical and other types of data that do not fit the underlying criteria for using conventional parametric statistics can be approached on a more theoretical correct basis.
Many market, planning, social, safety, and other data that are presented in numerical form are not ratio scale measurements and should use non parametric statistics.
www.unb.ca /transpo/mynet/mtq120.htm   (285 words)

  
 Readings in Statistics: A Nonparametric Focus   (Site not responding. Last check: 2007-10-21)
Anderson, N. Scales and statistics: Parametric and nonparametric.
Oakes, M. Statistical inference: A commentary for the social and behavioral sciences.
Schmidt, F. Statistical significance testing for cumulative knowledge psychology: Implications for the training of researchers.
home.utah-inter.net /rmay/randrefs.html   (2007 words)

  
 Nonparametric Statistics
Overview of nonparametric procedures, when to use which method, nonparametric correlations.
The objective of this paper is to offer an outlook of some statistical techniques that are being developed in the most recent years and that can be of interest for archaeologists in the short run.
This applet lets you explore the effect of violations of the assumptions of normality and homogeneity of variance on the type I error rate and power of t tests (and two-group analysis of variance).
www.mrs.umn.edu /~sungurea/introstat/nonparametric/links.html   (167 words)

  
 Second Moment: Resource Links: Nonparametric Statistics   (Site not responding. Last check: 2007-10-21)
"Public agencies are very keen on amassing statistics - they collect them, add them, raise them to the nth power, take the cube root and prepare wonderful diagrams.
Nonparametric GARCH Models by Peter Buhlmann and Alexander J. McNeil, Dec. 1999
Extensive list of readings pertaining to nonparametric statistics.
www.secondmoment.org /nonparametric.php   (130 words)

  
 Math 408 - Nonparametric Statistics - Spring 2003   (Site not responding. Last check: 2007-10-21)
Statistical methods that make minimal assumptions about probability distributions.
Other nonparametric methods: Jackknifes, Bootstrap estimation and testing, bootstrap confidence intervals, parametric and nonparametric bootstraps.
Computer programs in C or a related language will be used to study the properties of tests and estimators and to carry out statistical procedures that cannot be done by hand.
www.math.wustl.edu /~sawyer/math408s03.html   (400 words)

  
 Stat 464 Applied Nonparametric Statistics   (Site not responding. Last check: 2007-10-21)
Reference: Robust Nonparametric Statistical Methods by T. Hettmansperger and J. McKean.
You should certainly know about hypothesis tests, confidence intervals and the basics of statistical inference.
If you are not familiar with Minitab (or some other statistical package) see me at once.
www.stat.psu.edu /~tph/f01/stat464/Syllabus464F01.htm   (366 words)

  
 ScienceDaily Books : Nonparametric Statistics for The Behavioral Sciences   (Site not responding. Last check: 2007-10-21)
Fundamental Statistics in Psychology and Education (McGraw-Hill series in psychology)
The original structure is retained, and the book continues to serve as a combined text/reference.
But, as happens frequently in healthcare and social sciences, when faced with data that can't be analyzed with the normal mean and standard deviation stuff (i.e.
www.sciencedaily.com /cgi-bin/apf4/amazon_products_feed.cgi?Operation=ItemLookup&ItemId=0070573573   (1562 words)

  
 Amazon.co.uk: Books: Practical Nonparametric Statistics   (Site not responding. Last check: 2007-10-21)
Clear and concise overview of Non-parametric statistics, December 4, 2002
I found this book to be an invaluable resource for learning the principles and applications of various non-parametric statistics.
This book gives one very complete ideia about Nonparametric statistiscs, with examples and exercices.
www.amazon.co.uk /exec/obidos/ASIN/0471160687   (299 words)

  
 Biostatistics Software   (Site not responding. Last check: 2007-10-21)
The MATLAB Smoothing Toolbox is a shell script of tools for integration of nonparametric regression and smoothing techniques into MATLAB.
lpridge is a shell script with fortran-code and Splus-interface for nonparametric estimation of regression functions and their derivatives via local polynomials and local polynomial ridge regression with polynomial weight functions.
It is a realization of the fast and stable algorithm presented in JCGS (1994) with ridging proposed by Seifert and Gasser in JASA (1996).
www.unizh.ch /biostat/Software   (223 words)

  
 John Fox's Home Page
An Introduction to Statistical Computing in R (February 2005, California Center for Population Research, UCLA)
Information on John Fox, Nonparametric Simple Regression: Smoothing Scatterplots (Sage, 2000), and Multiple and Generalized Nonparametric Regression (Sage, 2000), including access to datasets and errata.
Using the R Statistical Computing Environment to Teach Social Statistics Courses, by John Fox and Robert Andersen (2005).
socserv.mcmaster.ca /jfox   (413 words)

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