Books by "George A. Anderson"
12 books found
A Biographical Dictionary of Silent Film Western Actors and Actresses
by George A. Katchmer
2015 · McFarland
Long before sound became an essential part of motion pictures, Westerns were an established genre. The men and women who brought to life cowboys, cowgirls, villains, sidekicks, distressed damsels and outraged townspeople often continued with their film careers, finding success and fame well into the sound era--always knowing that it was in silent Westerns that their careers began. More than a thousand of these once-silent Western players are featured in this fully indexed encyclopedic work. Each entry includes a detailed biography, covering both personal and professional milestones and a complete Western filmography. A foreword is supplied by Diana Serra Cary (formerly the child star "Baby Peggy"), who performed with many of the actors herein.
Biographical Register of the Officers and Graduates of the U.S. Military Academy at West Point, N.Y.: nos. 2001-3384
by George Washington Cullum
1891
Reports of Cases in the Supreme Court of Appeals of Virginia
by Virginia. Supreme Court of Appeals, Benjamin Watkins Leigh, Conway Robinson, Peachy Ridgway Grattan, James Muscoe Matthews, George W. Hansbrough, Martin Parks Burks
1907
Some vols. also contain reports of cases in the General Court of Virginia.
This new Second Edition volume provides an extensive collection of jury charges for the wide range of issues in cases brought under Section 1983. This invaluable resource provides numerous sample jury instructions, insightful commentary, and circuit-by-circuit annotations. Each charge is preceded by comments from the authors, variations to the charge depending on jurisdiction and circumstances, supporting case citations broken down by circuit, and cross references to pertinent sections of text in the other volume. Sample instructions are also contained on a companion CD-ROM. Also available as part of the Section 1983 Litigation Complete Six-Volume Set.
A comprehensive, must-have handbook of matrix methods with a unique emphasis on statistical applications This timely book, A Matrix Handbook for Statisticians, provides a comprehensive, encyclopedic treatment of matrices as they relate to both statistical concepts and methodologies. Written by an experienced authority on matrices and statistical theory, this handbook is organized by topic rather than mathematical developments and includes numerous references to both the theory behind the methods and the applications of the methods. A uniform approach is applied to each chapter, which contains four parts: a definition followed by a list of results; a short list of references to related topics in the book; one or more references to proofs; and references to applications. The use of extensive cross-referencing to topics within the book and external referencing to proofs allows for definitions to be located easily as well as interrelationships among subject areas to be recognized. A Matrix Handbook for Statisticians addresses the need for matrix theory topics to be presented together in one book and features a collection of topics not found elsewhere under one cover. These topics include: Complex matrices A wide range of special matrices and their properties Special products and operators, such as the Kronecker product Partitioned and patterned matrices Matrix analysis and approximation Matrix optimization Majorization Random vectors and matrices Inequalities, such as probabilistic inequalities Additional topics, such as rank, eigenvalues, determinants, norms, generalized inverses, linear and quadratic equations, differentiation, and Jacobians, are also included. The book assumes a fundamental knowledge of vectors and matrices, maintains a reasonable level of abstraction when appropriate, and provides a comprehensive compendium of linear algebra results with use or potential use in statistics. A Matrix Handbook for Statisticians is an essential, one-of-a-kind book for graduate-level courses in advanced statistical studies including linear and nonlinear models, multivariate analysis, and statistical computing. It also serves as an excellent self-study guide for statistical researchers.