05451nam 2200649Ia 450 991014469550332120170814174234.01-282-30742-897866123074230-470-31689-60-470-31773-6(CKB)1000000000687544(EBL)469210(OCoLC)264615491(SSID)ssj0000343229(PQKBManifestationID)11304607(PQKBTitleCode)TC0000343229(PQKBWorkID)10288729(PQKB)10469753(MiAaPQ)EBC469210(PPN)157931145(EXLCZ)99100000000068754419930520d1994 uy 0engur|n|---|||||txtccrStatistical factor analysis and related methods[electronic resource] theory and applications /Alexander BasilevskyNew York Wileyc19941 online resource (770 p.)Wiley series in probability and mathematical statistics. Probability and mathematical statisticsDescription based upon print version of record.0-471-57082-6 Includes bibliographical references (p. 690-731) and index.Statistical Factor Analysis and Related Methods; Contents; 1. Preliminaries; 1.1. Introduction; 1.2. Rules for Univariate Distributions; 1.2.1. The Chi-Squared Distribution; 1.2.2. The F Distribution; 1.2.3. The t Distribution; 1.3. Estimation; 1.3.1. Point Estimation: Maximum Likelihood; 1.3.2. The Likelihood Ratio Criterion; 1.4. Notions of Multivariate Distributions; 1.5. Statistics and the Theory of Measurement; 1.5.1. The Algebraic Theory of Measurement; 1.5.2. Admissiblc Transformations and the Classification of Scales; 1.5.3. Scale Classification and Meaningful Statistics1.5.4. Units of Measurc and Dimensional Analysis for Ratio Scales1.6. Statistical Entropy; 1.7. Complex Random Variables; Exercises; 2. Matrixes, Vector Spaces; 2.1. Introduction; 2.2. Linear, Quadratic Forms; 2.3. Multivariate Differentiation; 2.3.1. Derivative Vectors; 2.3.2. Derivative Matrices; 2.4. Grammian Association Matrices; 2.4.1. The inner Product Matrix; 2.4.2. The Cosine Matrix; 2.4.3. The Covariance Matrix; 2.4.4. The Correlation Matrix; 2.5. Transformation of Coordinates; 2.5.1. Orthogonal Rotations; 2.5.2. Oblique Rotations; 2.6. Latent Roots and Vectors of Grammian Matrices2.7. Rotation of Quadratic Forms2.8. Elements of Multivariate Normal Theory; 2.8.1. The Multivariate Normal Distribution; 2.8.2. Sampling from the Multivariatc Normal; 2.9. Thc Kronecker Product; 2.10. Simultaneous Decomposition of Two Grammian Matrices; 2.11. The Complex Muitivariate Normal Distribution; 2.11.1. Complex Matrices, Hermitian Forms; 2.11.2. The Complex Multivariate Normat; Exercises; 3. The Ordinary Principal Components Model; 3.1. Introduction; 3.2. Principal Components in the Population; 3.3. Isotropic Variation; 3.4. Principal Components in the Sample; 3.4.1. Introduction3.4.2. The General Model3.4.3. The Effect of Mean and Variances on PCs; 3.5. Principal Components and Projections; 3.6. Principal Components by Least Squares; 3.7. Nonlinearity in the Variables; 3.8. Alternative Scaling Criteria; 3.8.1. Introduction; 3.8.2. Standardized Regression Loadings; 3.8.3. Ratio Index Loadings; 3.8.4. Probability Index Loadings; Exercises; 4. Statistical Testing of the Ordinary Principal Components Model; 4.1. Introduction; 4.2. Testing Covariance and Correlation Matrices; 4.2.1. Testing for CompIete Independence; 4.2.2. Testing Sphericity4.2.3. Other lests for Covariance Matrices4.3. Testing Principal Components by Maximum Likelihood; 4.3.1. Testing Equality of all Latent Roots; 4.3.2. Testing Subsets of Principal Components; 4.3.3. Testing Residuals; 4.3.4. Testing Individual Principal Components; 4.3.5. Information Criteria of Maximum Likelihood Estimation of the Number of Components; 4.4. Other Methods of Choosing Principal Components; 4.4.1. Estirnatcs Bascd on Resampling; 4.4.2. Residual Correlations Test; 4.4.3. Informal Rules of Thumb; 4.5. Discarding Redundant Variables; 4.6. Assessing Normality4.6.1. Assessing for Univariate NormalityStatistical Factor Analysis and Related Methods Theory and Applications In bridging the gap between the mathematical and statistical theory of factor analysis, this new work represents the first unified treatment of the theory and practice of factor analysis and latent variable models. It focuses on such areas as:* The classical principal components model and sample-population inference* Several extensions and modifications of principal components, including Q and three-mode analysis and principal components in the complex domain* Maximum likelihood and weighted factor models, factWiley Series in Probability and StatisticsFactor analysisMultivariate analysisFactor analysis.Multivariate analysis.519.5519.5354Basilevsky Alexander447995MiAaPQMiAaPQMiAaPQBOOK9910144695503321Statistical factor analysis and related methods103604UNINA03570oam 2200709K 450 991077949150332120230419162506.01-351-90926-61-351-90925-81-315-24617-11-282-16538-097866138085781-4094-4784-7(CKB)2550000000107581(EBL)976591(OCoLC)801363615(SSID)ssj0000738851(PQKBManifestationID)12327026(PQKBTitleCode)TC0000738851(PQKBWorkID)10671024(PQKB)11424237(Au-PeEL)EBL976591(CaPaEBR)ebr10579687(CaONFJC)MIL380857(OCoLC)1101422617(OCoLC-P)1101422617(FlBoTFG)9781315246178(CaSebORM)9781351909259(MiAaPQ)EBC976591(PPN)176014160(EXLCZ)99255000000010758120190516d2019 uy 0engurcnu|||unuuutxtccrPre-accident investigations an introduction to organizational safety /Todd Conklin1st edition[United States] :CRC Press,2019.1 online resource (157 p.)Description based upon print version of record.1-4094-4782-0 1-4094-4783-9 Includes bibliographical references and index.Cover; Contents; List of Figures; List of Abbreviations; Foreword: A Context Setting Discussion; Preface; Acknowledgments; 1 A Story of a Failure; 2 Why Think about Failure at All, Let Alone Think "Differently" about Failure?; Case Study: The Titanic: A Story to Help You Rethink How You Think About Failure; 3 Change the Way Your Organization Reacts to Failure; Pre-Accident Investigation Tool; Case Study: Aviation Accidents are the Unexpected Combination of Normal Aviation Variability; 4 Workers Don't Cause Failure, Workers Trigger Failure5 Change is Better When You Manage Change-And Change Needs to be Managed Case Study: Nine Senior Managers, a Million Different Opinions on How to Handle a Problem; 6 Thinking about Where Failure Will Happen; Case Study: A Crashing Limb: Thinking about where Failure will Happen; 7 Fundamentals Training: Introducing the "New View" to Your Old Crew; Case Study: How to Win Friends and Influence Workers; 8 Starting the Journey -The First Steps; 9 The Four Things that Matter; Conclusion; Basic Reading List for Human Performance; IndexThis book is a set of new skills written for the managers that drive safety in their workplace. It will save your organization money and, more importantly, save lives. It will assist you in making your organization the safest in your industry. This is Human Performance theory made simple. If you are starting a new program, revamping an old program, or simply interested in understanding more about safety performance, this guide will be extremely helpful.Industrial safetyIndustrial accidentsInvestigationOccupational HealthIndustrial safety.Industrial accidentsInvestigation.Occupational Health363.1/065Conklin Todd1533453OCoLC-POCoLC-PBOOK9910779491503321Pre-accident investigations3780473UNINA