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Latent Roots And Latent Vectors
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Book Synopsis Latent Roots and Latent Vectors by : Sven J. Hammarling
Download or read book Latent Roots and Latent Vectors written by Sven J. Hammarling and published by . This book was released on 1970 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Latent Roots and Latent Vectors by : S. J. Hammarling
Download or read book Latent Roots and Latent Vectors written by S. J. Hammarling and published by . This book was released on 1970 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Methods of Determining Latent Roots and Latent Vectors of a Matrix by : Max Rosenberg
Download or read book Methods of Determining Latent Roots and Latent Vectors of a Matrix written by Max Rosenberg and published by . This book was released on 1951 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Determination of Latent Roots and Vectors of Real Symmetric Matrices by : Seymour Geisser
Download or read book The Determination of Latent Roots and Vectors of Real Symmetric Matrices written by Seymour Geisser and published by . This book was released on 1952 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Latent Roots and Vectors of Random Matrices by : Colin L. Mallows
Download or read book Latent Roots and Vectors of Random Matrices written by Colin L. Mallows and published by . This book was released on 1959 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applied Matrix Algebra in the Statistical Sciences by : Alexander Basilevsky
Download or read book Applied Matrix Algebra in the Statistical Sciences written by Alexander Basilevsky and published by Courier Corporation. This book was released on 2013-01-18 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive text offers teachings relevant to both applied and theoretical branches of matrix algebra and provides a bridge between linear algebra and statistical models. Appropriate for advanced undergraduate and graduate students. 1983 edition.
Book Synopsis Background and Methods of Numerical Calculation of Latent Roots and Vectors of the Characteristic Equation by : Barron Brainerd
Download or read book Background and Methods of Numerical Calculation of Latent Roots and Vectors of the Characteristic Equation written by Barron Brainerd and published by . This book was released on 1949 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Automatic Computation of the Latent Roots and Vectors of Matrices by : Arthur Raymond Jones
Download or read book Automatic Computation of the Latent Roots and Vectors of Matrices written by Arthur Raymond Jones and published by . This book was released on 1957 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Determination of Latent Roots and Invariant Manifolds of Matrices by Means of Iterations by : K. A. Semendi︠a︡ev
Download or read book The Determination of Latent Roots and Invariant Manifolds of Matrices by Means of Iterations written by K. A. Semendi︠a︡ev and published by . This book was released on 1952 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Regression Analysis and its Application by : Richard F. Gunst
Download or read book Regression Analysis and its Application written by Richard F. Gunst and published by CRC Press. This book was released on 2018-04-27 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better understanding of classical regression analysis. Useful either as a textbook or as a reference source, this book bridges the gap between the purely theoretical coverage of regression analysis and its practical application. The book presents regression analysis in the general context of data analysis. Using a teach-by-example format, it contains ten major data sets along with several smaller ones to illustrate the common characteristics of regression data and properties of statistics that are employed in regression analysis. The book covers model misspecification, residual analysis, multicollinearity, and biased regression estimators. It also focuses on data collection, model assumptions, and the interpretation of parameter estimates. Complete with an extensive bibliography, Regression Analysis and Its Application is suitable for statisticians, graduate and upper-level undergraduate students, and research scientists in biometry, business, ecology, economics, education, engineering, mathematics, physical sciences, psychology, and sociology. In addition, data collection agencies in the government and private sector will benefit from the book.
Book Synopsis Applied Multivariate Analysis by : S. James Press
Download or read book Applied Multivariate Analysis written by S. James Press and published by Courier Corporation. This book was released on 2012-09-05 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis as well as related models and applications. Starting with a look at practical elements of matrix theory, the text proceeds to discussions of continuous multivariate distributions, the normal distribution, and Bayesian inference; multivariate large sample distributions and approximations; the Wishart and other continuous multivariate distributions; and basic multivariate statistics in the normal distribution. The second half of the text moves from defining the basics to explaining models. Topics include regression and the analysis of variance; principal components; factor analysis and latent structure analysis; canonical correlations; stable portfolio analysis; classifications and discrimination models; control in the multivariate linear model; and structuring multivariate populations, with particular focus on multidimensional scaling and clustering. In addition to its value to professional statisticians, this volume may also prove helpful to teachers and researchers in those areas of behavioral and social sciences where multivariate statistics is heavily applied. This new edition features an appendix of answers to the exercises.
Book Synopsis Computing Methods in Crystallography by : J. S. Rollett
Download or read book Computing Methods in Crystallography written by J. S. Rollett and published by Elsevier. This book was released on 2016-06-06 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computing Methods in Crystallography is a collection of lectures delivered at a Summer School, held in Oxford in August 1962. The book presents the underlying mathematics and computing methods in crystallography. The text covers topics on the algebra required for the fundamental operations of transformation of coordinates, interpolation, approximation of trigonometric and exponential functions, solution of linear equations and derivation of latent roots and vectors; methods for calculation of structure factors, least-squares adjustment, and Fourier series evaluation; the theory and practice of intensity scaling and symmetry determination; and methods of direct phase determination. Crystallographers, physicists, and students in allied fields will find the book very useful.
Book Synopsis Robust Regression by : Kenneth D. Lawrence
Download or read book Robust Regression written by Kenneth D. Lawrence and published by Routledge. This book was released on 2019-05-20 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust Regression: Analysis and Applications characterizes robust estimators in terms of how much they weight each observation discusses generalized properties of Lp-estimators. Includes an algorithm for identifying outliers using least absolute value criterion in regression modeling reviews redescending M-estimators studies Li linear regression proposes the best linear unbiased estimators for fixed parameters and random errors in the mixed linear model summarizes known properties of Li estimators for time series analysis examines ordinary least squares, latent root regression, and a robust regression weighting scheme and evaluates results from five different robust ridge regression estimators.
Book Synopsis Statistical Factor Analysis and Related Methods by : Alexander T. Basilevsky
Download or read book Statistical Factor Analysis and Related Methods written by Alexander T. Basilevsky and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Factor Analysis and Related Methods Theory andApplications In bridging the gap between the mathematical andstatistical theory of factor analysis, this new work represents thefirst unified treatment of the theory and practice of factoranalysis and latent variable models. It focuses on such areasas: * The classical principal components model and sample-populationinference * Several extensions and modifications of principal components,including Q and three-mode analysis and principal components in thecomplex domain * Maximum likelihood and weighted factor models, factoridentification, factor rotation, and the estimation of factorscores * The use of factor models in conjunction with various types ofdata including time series, spatial data, rank orders, and nominalvariable * Applications of factor models to the estimation of functionalforms and to least squares of regression estimators
Download or read book Housing Finance Review written by and published by . This book was released on 1982 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Principles of Multivariate Analysis by : Wojtek Krzanowski
Download or read book Principles of Multivariate Analysis written by Wojtek Krzanowski and published by OUP Oxford. This book was released on 2000-09-28 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It is written for the user and potential user of multivariate techniques as well as for students coming to the subject for the first time. The author's emphasis is problem-orientated and he is at pains to stress geometrical intuition in preference to algebraic manipulation. Mathematical sections that are not essential for a practical understanding of the techniques are clearly indicated so that they may be skipped by the non-specialist. Discrete and mixed variable techniques are presented as well as continuous variable techniques to give a comprehensive coverage of the subject. This updated edition includes a new appendix which traces developments that have taken place in the years since the publication of the first edition and which clarifies some issues raised by readers of the original text. References to about 60 recent books and articles supplement the material in this appendix. Overall, this volume provides an up-to-date and readable practical account of the subject, both for students of statistics and for research workers in subjects as diverse as anthropology, education, industry, medicine and taxonomy. The new edition includes a survey of the most recent developments in the subject.
Book Synopsis An Introduction to Mathematical Taxonomy by : G. Dunn
Download or read book An Introduction to Mathematical Taxonomy written by G. Dunn and published by Courier Corporation. This book was released on 2012-04-30 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Students of mathematical biology discover modern methods of taxonomy with this text, which introduces taxonomic characters, the measurement of similarity, and the analysis of principal components. Other topics include multidimensional scaling, cluster analysis, identification and assignment techniques, more. A familiarity with matrix algebra and elementary statistics are the sole prerequisites.