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Author: Al Case Publisher: ISBN: 9781987529319 Category : Languages : en Pages : 124
Book Description
Matrixing is the first and only science of the martial arts. Matrixing has been used to resolve martial arts both common and rare, bringing new lights to ancient disciplines.In this book the science of matrixing is used to define chi power.Chi is a type of energy that permeates the universe. Actually, the universe is made of chi, thus, it is impossible for science and physics to define or measure chi in any way.With matrixing, however, it is possible to define, and measure, chi power. Further, in this book the author shares his most scientific methods for generating chi, and manipulating it. He does this through a profound study of the martial arts.About the author: Al Case began the martial arts in 1967. Since that time he has studied Kenpo, classical Karate, Wing Chun, Aikido, Northern Shaolin Ton Toi, Southern Shaolin Fut Ga, Tai Chi Chuan, Pa Kua Chang, indonesian weapons and more. He was a writer for the martial arts magazines, including a column in Inside Karate. He has written over 40 martial arts training manuals, and is the webmaster of MonsterMartialArts.com.
Author: Al Case Publisher: ISBN: 9781987529319 Category : Languages : en Pages : 124
Book Description
Matrixing is the first and only science of the martial arts. Matrixing has been used to resolve martial arts both common and rare, bringing new lights to ancient disciplines.In this book the science of matrixing is used to define chi power.Chi is a type of energy that permeates the universe. Actually, the universe is made of chi, thus, it is impossible for science and physics to define or measure chi in any way.With matrixing, however, it is possible to define, and measure, chi power. Further, in this book the author shares his most scientific methods for generating chi, and manipulating it. He does this through a profound study of the martial arts.About the author: Al Case began the martial arts in 1967. Since that time he has studied Kenpo, classical Karate, Wing Chun, Aikido, Northern Shaolin Ton Toi, Southern Shaolin Fut Ga, Tai Chi Chuan, Pa Kua Chang, indonesian weapons and more. He was a writer for the martial arts magazines, including a column in Inside Karate. He has written over 40 martial arts training manuals, and is the webmaster of MonsterMartialArts.com.
Author: Al Case Publisher: Createspace Independent Publishing Platform ISBN: 9781508797067 Category : Languages : en Pages : 180
Book Description
This book details the complete record of research that resulted in the science of Matrixing, which is the only science of the martial arts on the planet. It took over 4 decades to complete. It includes a complete art, which art may be used as a template for any other martial art, that that martial art may become scientifically correct. This book is for people who want the real answers, who want to know the real reasons behind the martial arts. Al Case began the martial arts in 1967. Over the decades he has studied Kenpo, Kang Duk Won Karate, Wing Chun, Aikido, Northern Shaolin Gung Fu, Southern Shaolin Gung Fu, Tai Chi Chuan, Pa Kua Chang, weapons, and many other martial arts. He became a writer for the magazines in 1981, and eventually had his own column in Inside Karate (Case Histories). Information on Matrixing is available at MonsterMartialArts.com.
Author: Randall E. Schumacker Publisher: Routledge ISBN: 1317608097 Category : Psychology Languages : en Pages : 375
Book Description
Noted for its crystal clear explanations, this book is considered the most comprehensive introductory text to structural equation modeling (SEM). Noted for its thorough review of basic concepts and a wide variety of models, this book better prepares readers to apply SEM to a variety of research questions. Programming details and the use of algebra are kept to a minimum to help readers easily grasp the concepts so they can conduct their own analysis and critique related research. Featuring a greater emphasis on statistical power and model validation than other texts, each chapter features key concepts, examples from various disciplines, tables and figures, a summary, and exercises. Highlights of the extensively revised 4th edition include: -Uses different SEM software (not just Lisrel) including Amos, EQS, LISREL, Mplus, and R to demonstrate applications. -Detailed introduction to the statistical methods related to SEM including correlation, regression, and factor analysis to maximize understanding (Chs. 1 – 6). -The 5 step approach to modeling data (specification, identification, estimation, testing, and modification) is now covered in more detail and prior to the modeling chapters to provide a more coherent view of how to create models and interpret results (ch. 7). -More discussion of hypothesis testing, power, sampling, effect sizes, and model fit, critical topics for beginning modelers (ch. 7). - Each model chapter now focuses on one technique to enhance understanding by providing more description, assumptions, and interpretation of results, and an exercise related to analysis and output (Chs. 8 -15). -The use of SPSS AMOS diagrams to describe the theoretical models. -The key features of each of the software packages (Ch. 1). -Guidelines for reporting SEM research (Ch. 16). -www.routledge.com/9781138811935 which provides access to data sets that can be used with any program, links to other SEM examples, related readings, and journal articles, and more. Reorganized, the new edition begins with a more detailed introduction to SEM including the various software packages available, followed by chapters on data entry and editing, and correlation which is critical to understanding how missing data, non-normality, measurement, and restriction of range in scores affects SEM analysis. Multiple regression, path, and factor models are then reviewed and exploratory and confirmatory factor analysis is introduced. These chapters demonstrate how observed variables share variance in defining a latent variables and introduce how measurement error can be removed from observed variables. Chapter 7 details the 5 SEM modeling steps including model specification, identification, estimation, testing, and modification along with a discussion of hypothesis testing and the related issues of power, and sample and effect sizes.Chapters 8 to 15 provide comprehensive introductions to different SEM models including Multiple Group, Second-Order CFA, Dynamic Factor, Multiple-Indicator Multiple-Cause, Mixed Variable and Mixture, Multi-Level, Latent Growth, and SEM Interaction Models. Each of the 5 SEM modeling steps is explained for each model along with an application. Chapter exercises provide practice with and enhance understanding of the analysis of each model. The book concludes with a review of SEM guidelines for reporting research. Designed for introductory graduate courses in structural equation modeling, factor analysis, advanced, multivariate, or applied statistics, quantitative techniques, or statistics II taught in psychology, education, business, and the social and healthcare sciences, this practical book also appeals to researchers in these disciplines. Prerequisites include an introduction to intermediate statistics that covers correlation and regression principles.
Author: Marvin H. J. Gruber Publisher: John Wiley & Sons ISBN: 1118592557 Category : Mathematics Languages : en Pages : 391
Book Description
A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models. The book provides a unified presentation of the mathematical properties and statistical applications of matrices in order to define and manipulate data. Written for theoretical and applied statisticians, the book utilizes multiple numerical examples to illustrate key ideas, methods, and techniques crucial to understanding matrix algebra’s application in linear models. Matrix Algebra for Linear Models expertly balances concepts and methods allowing for a side-by-side presentation of matrix theory and its linear model applications. Including concise summaries on each topic, the book also features: Methods of deriving results from the properties of eigenvalues and the singular value decomposition Solutions to matrix optimization problems for obtaining more efficient biased estimators for parameters in linear regression models A section on the generalized singular value decomposition Multiple chapter exercises with selected answers to enhance understanding of the presented material Matrix Algebra for Linear Models is an ideal textbook for advanced undergraduate and graduate-level courses on statistics, matrices, and linear algebra. The book is also an excellent reference for statisticians, engineers, economists, and readers interested in the linear statistical model.
Author: Al Case Publisher: CreateSpace ISBN: 9781496198426 Category : Languages : en Pages : 128
Book Description
This fifth volume in the Matrixing Karate Series, 'Master, ' reveals the research and development that went into creating Matrixing. About the Matrixing Karate Series: Matrixing is the first and only true science of the martial arts. Eastern mysticism has been rendered by western logic, and the result is a form of Karate that is quick, easy, precise, and works like a charm. One of the main principles of Matrixing is that it is easy to learn, thus it is easy to remember, and therefore easy to use. In a word, it is the fastest way to achieve an intuitive state in the martial arts in the world. Equally important, Matrixing aligns the data of any martial art. Simply use the template of Matrix Karate, plug ANY martial art into it, and that martial art will become logical. Which is to say, in essence, Matrix Karate will 'fix' any martial art. Forms will become understandable and begin to adhere to the logic of matrixing. Techniques will become understandable and workable, and and entire arts will start to align and make sense. About the Author: Al Case began studying Karate in 1967. He studied a variety of martial arts, and became a writer for the martial arts magazines in 1981. Currently, he is living on a mountain top in southern California where he is building a martial arts temple.
Author: George A. Marcoulides Publisher: Psychology Press ISBN: 1317843797 Category : Psychology Languages : en Pages : 368
Book Description
By focusing primarily on the application of structural equation modeling (SEM) techniques in example cases and situations, this book provides an understanding and working knowledge of advanced SEM techniques with a minimum of mathematical derivations. The book was written for a broad audience crossing many disciplines, assumes an understanding of graduate level multivariate statistics, including an introduction to SEM.
Author: James R. Schott Publisher: John Wiley & Sons ISBN: 1119092469 Category : Mathematics Languages : en Pages : 698
Book Description
An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice Providing accessible and in-depth coverage of the most common matrix methods now used in statistical applications, Matrix Analysis for Statistics, Third Edition features an easy-to-follow theorem/proof format. Featuring smooth transitions between topical coverage, the author carefully justifies the step-by-step process of the most common matrix methods now used in statistical applications, including eigenvalues and eigenvectors; the Moore-Penrose inverse; matrix differentiation; and the distribution of quadratic forms. An ideal introduction to matrix analysis theory and practice, Matrix Analysis for Statistics, Third Edition features: • New chapter or section coverage on inequalities, oblique projections, and antieigenvalues and antieigenvectors • Additional problems and chapter-end practice exercises at the end of each chapter • Extensive examples that are familiar and easy to understand • Self-contained chapters for flexibility in topic choice • Applications of matrix methods in least squares regression and the analyses of mean vectors and covariance matrices Matrix Analysis for Statistics, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses on matrix methods, multivariate analysis, and linear models. The book is also an excellent reference for research professionals in applied statistics. James R. Schott, PhD, is Professor in the Department of Statistics at the University of Central Florida. He has published numerous journal articles in the area of multivariate analysis. Dr. Schott’s research interests include multivariate analysis, analysis of covariance and correlation matrices, and dimensionality reduction techniques.
Author: Al Case Publisher: CreateSpace ISBN: 9781507869291 Category : Sports & Recreation Languages : en Pages : 114
Book Description
Tong Bei means 'through the back,' it refers to a unique system of Kung Fu, with a unique method for generating chi power.Tong Bei is an old art, an internal martial art, and while not well known in the United States, it is considered on par with such arts as Tai Chi Chuan, Pa Kua Chang, and Hsing I.In this book Tong Bei is presented from the ground up. It includes the unique but simple chi building basics, a method for creating and understanding forms, and a lot of very efficient and street functional self defense techniques.About the Author: Al Case began studying the martial arts in 1967. He became a writer for the martial arts magazines in 1981, and had his own column (Case Histories) in Inside Karate.Al Case is also the author of the five book 'Matrixing Karate' series, the three volume 'How to Create Kenpo Karate series, and stand alone books on Pan Gai Noon, Kang Duk Won, Kwon Bup, Outlaw Karate, Buddha Crane Karate, 'Karate to Shaolin to Pa Kua Chang,' and the two volume 'Fixing MCMAP' series.
Author: Al Case
Author: Al Case
Author: Al Case
Author: Randall E. Schumacker
Author: Marvin H. J. Gruber
Author: Al Case
Author: 
Author: George A. Marcoulides
Author: James R. Schott
Author: Al Case
Author: Peter William Champoux