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# Topic: Statistical theory

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 Statistical theory   (Site not responding. Last check: 2007-11-07) The Finnish Statistical Society Promotes the development of statistical theory and its applications, and acts as a link between statisticians and others working in different fields of statistics and research. Statistical Society of Australia Inc. The objective of the society is to further the study, application and good practice of statistical theory and methods in all branches of learning and enterprise. South African Statistical Association Aims to foster the study and knowledge of statistical theory and its application towards improving the quality of life of all South Africans. www.serebella.com /encyclopedia/article-Statistical_theory.html   (391 words)

 Statistics - Open Encyclopedia   (Site not responding. Last check: 2007-11-07) Statistics is the science and practice of developing human knowledge through the use of empirical data. It is based on statistical theory which is a branch of applied mathematics. The word statistics comes from the modern Latin phrase statisticum collegium (lecture about state affairs), from which came the Italian word statista, which means "statesman" or "politician" (compare to status) and the German Statistik, originally designating the analysis of data about the state. open-encyclopedia.com /Statistics   (847 words)

 The need for a statistical theory   (Site not responding. Last check: 2007-11-07) Since it is not possible to develop a deterministic theory of turbulence, one wishes to develop a statistical theory based on the average properties of turbulence. Most statistical theories of physics are based on the tacit assumption that the different possible averaging procedures are probably ultimately equivalent. The goal of the statistical theory of turbulence is to determine such correlation functions in a particular situation. astron.berkeley.edu /~jrg/ay202/node164.html   (966 words)

 Inferring From Data Statistical inference is refer to extending your knowledge obtain from a random sample from a population to the whole population. In a statistical hypothesis test, the P value is the probability of observing a test statistic at least as extreme as the value actually observed, assuming that the null hypothesis is true. The statistical bootstrap, which uses resampling from a given set of data to mimic the variability that produced the data in the first place, has a rather more dependable theoretical basis and can be a highly effective procedure for estimation of error quantities in statistical problems. home.ubalt.edu /ntsbarsh/stat-data/Topics.htm   (16064 words)

 Statistical theory - Wikipedia, the free encyclopedia Statistical models of the sources of data and typical problem formulation: Summarizing statistical data in conventional forms (also known as descriptive statistics) Interpreting statistical data is the final objective of all research: en.wikipedia.org /wiki/Statistical_theory   (76 words)

 Statistical Theory of Asteroid Escape Rates   (Site not responding. Last check: 2007-11-07) The transition states, similar to those occurring in chemical reaction dynamics, are then used to develop a statistical semi-analytical theory for the rate of escape of asteroids temporarily captured by Mars. Theory and numerical simulations are found to agree to better than 1%. These calculations suggest that further development of transition state theory in celestial mechanics, as an alternative to large-scale numerical simulations, will be a fruitful approach to mass transport calculations. www.cds.caltech.edu /~marsden/bib/2002/08-JaRoLoMaFaUz2002   (94 words)

 Statistical learning theory - Wikipedia, the free encyclopedia It may refer to computational learning theory, which is a sub-field of statistics that studies how algorithms can learn from data. It may refer to Vapnik Chervonenkis theory, which is a specific approach to computational learning theory, proposed by Vladimir Vapnik and Alexey Chervonenkis. This is a disambiguation page, a list of pages that otherwise might share the same title. en.wikipedia.org /wiki/Statistical_learning_theory   (117 words)

 Statistical Ecology Section -- ESA :: Fostering Development of Statistical Theory and Practice for Ecology   (Site not responding. Last check: 2007-11-07) The Statistical Ecology Section is an officially recognized section of the Ecological Society of America. The purpose of the section is to encourage research in statistical theory and methodology applied to ecological problems, to sponsor forums for presentation of advances in statistical ecology and to facilitate communication between the disciplines of statistics and ecology to enhance statistical design and analysis in ecological research. The E.C. Pielou Award is a competitive award made annually to a graduate student or recent Ph.D. graduate based on overall quality of the student's scientific contribution to statistical ecology, as evidenced by his or her oral presentation at the Annual Meeting. stat-ecol.evsc.virginia.edu   (890 words)

 Statistical Theory   (Site not responding. Last check: 2007-11-07) This theory continues to serve as the backbone of general statistical inference across nearly all areas of science. Quasi-likelihood methods for modeling the variance-covariance matrix and allowing empirical estimates of sampling variances (Wedderburn 1974) have been developed and are particularly important in product-multinomial models. This theory, including Akaike's Information Criterion (AIC) is a substantial advance to the general likelihood theory. www.cnr.colostate.edu /~gwhite/mark/markhelp/statisticaltheory.htm   (235 words)

 Amazon.com: Books: Statistical Learning Theory   (Site not responding. Last check: 2007-11-07) This book is devoted to the statistical theory of learning and generalization, that is, the problem of choosing the desired function on the basis of empirical data. Along with a brief introduction, the book consists of three parts, the first being an overview of the statistical theory of learning, the second giving the details of the now widely used support vector machines, and the last one (the most sophisticated mathematically) giving the statistical foundations of learning theory. Both of these problems were discovered to be essentially the same, and the author?s task is to use their similarities to construct a general theory of statistical inference and (inductive) learning. www.amazon.com /exec/obidos/tg/detail/-/0471030031?v=glance   (2006 words)

 Statistical theory   (Site not responding. Last check: 2007-11-07) Statistical models of the sources of data and problem formulation: Interpreting statistical data is the final objective of all Fourth in a series of books about grounded theory, this book describes in detail the procedures and techniques used in the grounded theory method of qualitative research. www.freeglossary.com /Statistics/Theory   (390 words)

 Sketching the History of Statistical Mechanics and Thermodynamics   (Site not responding. Last check: 2007-11-07) 's theory of heat and radiation exchange, stating that cold is the absence of heat, hot bodies radiate continually and that a lack of radiation indicates equilibrium with surroundings temperature. Boltzmann formulates a statistical mechanical version of the second law of thermodynamics in the paper, "On the Relation Between the Second Law of the Mechanical Theory of Heat and the Probability Calculus with Respect to the Theorems on Thermal Equilibrium". Gibbs publishes Elementary Principles in Statistical Mechanics, his treatise on the subject, deriving common thermodynamic properties from particle statistics, giving his full account of ensemble theory and their relationships (including the so-called "Gibbs paradox," though there was nothing paradoxical about it at the time). history.hyperjeff.net /statmech.html   (6799 words)

 Statistical Theory   (Site not responding. Last check: 2007-11-07) Statistical methods help determine what is truly significant in a mass of... It turns out there is precious little statistical support for the belief that the stock market registers a major low... It inspired me to take further courses related to statistical theory (such as probability) and its quantitative focus fuelled my interest in a concentration... statistical-theory.wikiverse.org   (207 words)

 Control Theory & Statistical Physics We have been synthesizing ideas and methods from statistical mechanics, dynamical systems, and control theory in order to provide a suitable framework from which to quantitatively better understand complex systems. Within statistical mechanics, thermodynamic quantities are effectively interpreted as ensemble averages of observables and the underlying dynamics never explicitly enter into the picture. However, within control theory, this paradigm may be simply understood as falling out of an approximation theory. www.physics.ucsb.edu /~complex/research/control.htm   (314 words)

 STAT 703 - Introduction to Statistical Theory II STAT 703 - Introduction to Statistical Theory II 703—Introduction to Statistical Theory II. Purpose: To expose the student to the basic concepts of theoretical statistics necessary for the solid understanding of the statistical procedures and methods typically used by practicing industrial personnel at an advanced level. Tests of Hypotheses and Their Properties: Elements of a statistical test; significance levels and p-values; power of tests; the Neyman-Pearson theory; UMP tests; specific tests for means, proportions, and variances (one- and two-sample). www.stat.sc.edu /curricula/courses/703   (245 words)

 Statistical Theory: Group Project II   (Site not responding. Last check: 2007-11-07) Statistical Theory: Group Project II Statistical Theory: Group Project II Purpose: To learn to frame real-world questions in statistical language, to use statistical inference to explore practical questions, to learn how to learn new statistical techniques and to communicate the results of your work to others. a description of each question, the statistical procedure used, including the assumptions of the procedure and a rationale for why the assumptions are justified, and your conclusions. It should include clear descriptions of the questions, the statistics used and the conclusions and their rationale. campus.northpark.edu /math/courses/Math_3150/project2.html   (261 words)

 Journal of Parapsychology, The: An Acceptance-Rejection Theory Of Statistical Psychokinesis The theory attributes the agent with an ability to accept or reject the immanent outcome of a random frail: if the immanent outcome is deemed unfavorable, the agent is attributed with the ability to "choose again" from the same distribution. This "acceptance-rejection" theory of Pit gives rise to a mathematical specification of the trial level influence that is identical to that of a classical model due to Schmidt. The modern view of PK is that it is an essentially statistical phenomenon, that determinism precludes, and randomicity favors, PK. www.findarticles.com /p/articles/mi_m2320/is_2_64/ai_67718671   (1339 words)

 Carnegie Mellon's Wasserman awarded Statistical Society of Canada Prize PITTSBURGH - Larry Wasserman, professor of statistics at Carnegie Mellon University, has been awarded the 2002 Centre de recherches mathematiques de Montreal - Statistical Society of Canada (CRM-SSC) prize for his original contributions to statistical theory and his development of Bayesian methodology. His expertise and influence have impacted modern statistical theory, such as sampling, mixture models, multiple testing, goodness-of-fit and robustness issues. Wasserman's contributions to statistical theory and his work as a pioneer in Bayesian inference have won him many distinctions over the past two decades in the United States and Canada. www.eurekalert.org /pub_releases/2002-06/cmu-cmw061102.php   (282 words)

 Statistical Theory The primary statistical procedures to be employed in the modelling program are Analysis of Variance (ANOVA) and the t-test. These methods of data analysis have been studied and refined by theoretical and applied statisticians for decades and have been shown to be robust in the face of problems associated with water quality variables (for example, non-normality of population distribution and inequality of sample variances; Montgomery and Loftis, 1987). Any parametric statistical procedure will be highly sensitive to spatial and temporal autocorrelation, however. igs.indiana.edu /survey/projects/pesticides/pest/pesthtml/statistics_theory.cfm   (855 words)

 A Bibliographic Resource for Statistical Theory The Current Index to Statistics is a joint venture of the American Statistical Association and the Institute of Mathematical Statistics. The two main drawbacks to the Current Index to Statistics are the lack of abstracts and the timeliness of the indexing, as it is two to three years behind the publication date of the articles indexed. Of the 32 journals with an impact factor of at least 0.500, Current Index to Statistics treats 27 (84%) as core titles, 3 are partially indexed, and 2 (which are the same journal that underwent a title change in 1998) are not indexed. www.istl.org /02-spring/databases1.html   (2019 words)

 Dr. Arsham's Statistics Site Statistics is a science of making decisions with respect to the characteristics of a group of persons or objects on the basis of numerical information obtained from a randomly selected sample of the group. Statistical inference refers to extending your knowledge obtained from a random sample from the entire population to the whole population. Almost all standard statistical analyses are conditioned on the assumption that the population is homogeneous, meaning that its density (for continuous random variables) or probability mass function (for discrete random variables) is unimodal. home.ubalt.edu /ntsbarsh/Business-stat/opre504.htm   (12692 words)

 Learning Statistical Theory - Learning RU The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. Statistical Learning Theory - ECE695, fall 2003 … Statistical Learning Theory focuses on the statistical aspects of automated learning. … Formal learning theory is the mathematical embodiment of a normative epistemology … of fl resp. www.learning.ru.com /learning-statistical-theory.html   (444 words)

 Citations: The Statistical Theory of Shapes - Small (ResearchIndex)   (Site not responding. Last check: 2007-11-07) Geodesics on come from solutions of the TME for which t is supported on the boundary of the shape and perpendicular to it. A THEORY OF SIMILARITY MEASURES A B g(A) g(B) Figure 2.1: Invariance given transformation group, an orbit can be interpreted as the shape of a pattern, and the orbit set can be seen as a class of shapes. Rohlf (1999b) gives an overview of some of the relationships between shape statistics and the shape spaces on which they are based. citeseer.ist.psu.edu /context/148046/0   (1922 words)

 Statistical Theory (L24)   (Site not responding. Last check: 2007-11-07) This is a second-level course on modern statistical theory. Basic knowledge of statistical inference, including point estimation and hypothesis testing, will be assumed. Review of main statistics, Wald, score, likelihood ratio, directed likelihood, and first-order distribution theory in no-nuisance parameter case. www.maths.cam.ac.uk /CASM/courses/02-03/descriptions/node56.html   (160 words)

 Statistical theory   (Site not responding. Last check: 2007-11-07) Statistical models of the sources of data and typical problemformulation: Summarizing statistical data inconventional forms (also known as descriptivestatistics) Interpreting statistical data is thefinal objective of all research: www.therfcc.org /statistical-theory-8835.html   (63 words)

 Statistical Theory (M24)   (Site not responding. Last check: 2007-11-07) We begin with a discussion of concepts and principles of statistical inference and use these in the second chapter to develop inferential methods based on the likelihood function. In the second half of the course, on nonparametric statistical theory, we do not assume that the underlying population is of a pre-specified parametric form, and consider such problems as estimating a distribution function, a quantile, or a density function from a sample. Measure theory is certainly not necessary, but would be a small bonus. www.maths.cam.ac.uk /CASM/courses/descriptions/node54.html   (376 words)

 UoY: Economics and Related Studies. Undergraduate Modules: is1 Home Page Introduction to Statistical Theory 1 and Introduction to Statistical Theory 2 are examined jointly by means of a THREE hour University Closed Examination which will be held in week 10 of term 3. Candidates who only take Introduction to Statistical Theory 1are examined by means of a TWO AND A QUARTER hour University Closed Examination which will be in week 10 of term 3. Note that Introduction to Statistical Theory 1 and Introduction to Statistical Theory 2 (2010008) may be taken in place of Statistics 1 and Mathematical Techniques in Economics by other first year students. www.york.ac.uk /depts/econ/courseware/ugm/is1.html   (362 words)

 Finnish Statistical Society   (Site not responding. Last check: 2007-11-07) ...to promote the development of statistical theory and its applications, and to function as a link between statisticians and others working in different fields of statistics and research. The Society has around 500 members from statistics departments of universities, statistical offices, and research institutes. It aims to report significant, innovative, and original contributions to statistical methodology, both theory and applications. www-history.mcs.st-andrews.ac.uk /Societies/Finnish_Statistical.html   (106 words)

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