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The asymptotic covariance matrix of estimates of factor loadings with normalized varimax rotation / by Hayashi, Kentaro.; Sen, Pranab Kumar,1937-(CARDINAL)158125; University of North Carolina (System).Institute of Statistics.(CARDINAL)165205; University of North Carolina at Chapel Hill.Department of Biostatistics.(CARDINAL)167680;
Includes bibliographical references (page 9).
Subjects: Factor analysis.; Kronecker products.; Statistical hypothesis testing;
Available copies: 2 / Total copies: 3
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Weak convergence of bounded influence regression estimates with applications / by Carroll, Raymond J.(CARDINAL)165425; Ruppert, David,1948-(CARDINAL)165426; University of North Carolina (System).Institute of Statistics.(CARDINAL)165205; University of North Carolina at Chapel Hill.Department of Statistics.(CARDINAL)149563;
Includes bibliographical references (leaf 23).
Subjects: Convergence.; Regression analysis.; Robust statistics.; Sequential analysis.; Statistical hypothesis testing.;
Available copies: 1 / Total copies: 2
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Asymptotic optimality and distribution theory of nonparametric tests for restricted alternatives / by Tsai, Ming-tan M.(CARDINAL)194550; University of North Carolina (System).Institute of Statistics.(CARDINAL)165205; University of North Carolina at Chapel Hill.Department of Statistics.(CARDINAL)149563;
Includes bibliographical references (pages [103]-[106]).
Subjects: Asymptotic distribution (Probability theory); Statistical hypothesis testing; Mathematical statistics.;
Available copies: 1 / Total copies: 2
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Rank order tests for interchangeability in some restricted and incomplete models / by Jerdack, George R.(CARDINAL)194549; University of North Carolina (System).Institute of Statistics.(CARDINAL)165205; University of North Carolina at Chapel Hill.Department of Biostatistics.(CARDINAL)167680;
Bibliography: pages [150]-154.
Subjects: University of North Carolina at Chapel Hill; Order statistics.; Ranking and selection (Statistics); Statistical hypothesis testing.;
Available copies: 1 / Total copies: 2
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Meaning from data [videorecording] : Statistics made clear / by Starbird, Michael,professor.; Leven, Jon,director.; Reay, Alisha,editor.; Rodriguez, Sal,director.; Starbird, Michael,professor.; Teaching Company,producer,publisher.;
Includes bibliographical references (pages 144-148 of guidebook).Disc 1: Part 1. Lecture 1. Describing data and inferring meaning -- Lecture 2. Data and distributions: getting the picture -- Lecture 3. Inference: how close? How confident? -- Lecture 4. Describing dispersion or measuring spread -- Lecture 5. Models of distributions: shapely families -- Lecture 6. The bell curve.Disc 2: Part 1. Lecture 7. Correlation and regression: moving together -- Lecture 8. Probability: workhorse for inference -- Lecture 9. Samples: the few, the chosen -- Lecture 10. Hypothesis testing: innocent until -- Lecture 11. Confidence intervals: how close? How sure? -- Lecture 12. Design of experiments: thinking ahead.Disc 3: Part 2. Lecture 13. Law: you're the jury -- Lecture 14. Democracy and Arrow's impossibility theorem -- Lecture 15. Election problems and engine failure -- Lecture 16. Sports: who's best of all time? -- Lecture 17. Risk: war and insurance -- Lecture 18. Real estate: accounting for value.Disc 4: Part 2. Lecture 19. Misleading, distorting, and lying -- Lecture 20. Social science: parsing personalities -- Lecture 21. Quack medicine, good hospitals, and dieting -- Lecture 22. Economics: "one" way to find fraud -- Lecture 23. Science: Mendel's too-good peas -- Lecture 24. Statistics everywhere.Producer, Alisha Reay; academic content supervisor, Ann Waigand; directors, Jon Leven, Sal Rodriguez; camera operators, Alexis Doty, Jared Bourgeois, Jack Dierkin, Jim Allen; editor, Alisha Reay.Lecturer: Michael Starbird, Professor of Mathematics and Distinguished Teaching Professor, The University of Texas at Austin.Who was the greatest baseball hitter of all time? How likely is it that a poll is correct? Is it smart to buy last year's highest-performing stock? These questions all involve the interpretation of statistics, and this film is an introduction to this vitally important subject in today's data-driven society. Explanations for terms such as mean, median, percentile, quartile, statistically significant, and bell curve, and scores of other statistical concepts are covered. The emphasis is on the role of statistics in daily life, giving a broad overview of how statistical tools are employed in risk assessment, college admissions, drug testing, fraud investigation, and a host of other applications.DVD.
Subjects: Educational films.; Filmed lectures.; Nonfiction films.; Confidence intervals.; Distribution (Probability theory); Experimental design.; Mathematical statistics.; Sampling (Statistics); Statistical hypothesis testing.; Statistics; Statistics; Data Interpretation, Statistical.; Probability.; Statistics as Topic; Statistics as Topic;
Available copies: 1 / Total copies: 1
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Even you can learn statistics and analytics : an easy to understand guide to statistics and analytics / by Levine, David M.,1946-; Stephan, David,author.;
Includes bibliographical references and index.Fundamentals of statistics -- Presenting data in tables and charts -- Descriptive statistics -- Probability -- Probability distributions -- Sampling distributions and confidence intervals -- Fundamentals of hypothesis testing -- Hypothesis testing : Z and t tests -- Hypothesis testing : chi-square tests and the one-way analysis of variance (ANOVA) -- Simple linear regression -- Multiple regression -- Fundamentals of analytics -- Descriptive analytics -- Predictive analytics."Now fully updated for "big data" analytics and the newest applications, Even You Can Learn Statistics and Analytics, Third Edition is the practical, up-to-date introduction to statistics and analytics -- for everyone! One easy step at a time, you'll learn all the statistical techniques you'll need for finance, marketing, quality, science, social science, or anything else. Simple jargon-free explanations help you understand every technique, and realistic examples and worked problems give you all the hands-on practice you'll need. This edition contains more practical examples than ever -- all updated for the newest versions of Microsoft Excel. You'll find downloadable practice files, templates, data sets, and sample models -- including complete solutions you can put right to work in business, school, or anywhere else."--Publisher's description.
Subjects: Statistics;
Available copies: 2 / Total copies: 2
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Application of a bivariate t distribution to hypothesis testing in crossover experiments / by Stewart, Paul Wilder.(CARDINAL)167874; University of North Carolina (System).Institute of Statistics.(CARDINAL)165205; University of North Carolina at Chapel Hill.Department of Biostatistics.(CARDINAL)167680;
Includes bibliographical references (pages 124-127).
Subjects: Mathematical statistics.;
Available copies: 1 / Total copies: 2
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Some aspects of estimation and hypothesis testing for generalized multivariate linear models / by Yuan, Y. C.(Yang Chyuan),1951-(CARDINAL)166266; University of North Carolina (System).Institute of Statistics.(CARDINAL)165205;
Includes bibliographical references (pages 152-154).
Subjects: Multivariate analysis.;
Available copies: 0 / Total copies: 1
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Business statistics / by Koosis, Donald J.(CARDINAL)714275;
Summarizing data -- Populations and samples -- Estimating -- Hypothesis testing -- Differences between means -- The difference between two variances or several means -- The relation between two sets of measures -- Tracking and forecasting changes over time -- A test of distributions.
Subjects: Programmed instructional materials.; Statistics.; Social sciences; Commercial statistics;
Available copies: 1 / Total copies: 1
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Statistics a self-teaching guide / by Koosis, Donald J.(CARDINAL)714275;
Basic skills -- Populations and samples -- Estimating -- Hypothesis testing -- Differences between means -- The difference between two variances or several means -- The relation between two sets of measures -- A test of distributions -- The combined effects of two variables -- Appendices -- Index.
Subjects: Programmed instructional materials.; Statistics.; Statistics;
Available copies: 5 / Total copies: 7
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