Models of Management PDF Download

Author: Mauro F. Guillén
Publisher: University of Chicago Press
ISBN: 0226310361
Category : Business & Economics
Languages : en
Pages : 439

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Book Description
This work explores differing historical patterns in the adoption of the three major models of organizational management: scientific management; human relations; and structural analysis. The author takes a fresh look at how managers have used these models in four countries during the 20th century.

Author: C. Seth Warren
Publisher: Guilford Press
ISBN: 9781572303409
Category : Psychology
Languages : en
Pages : 394

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Book Description
This practical and scholarly new text presents a comprehensive review and evaluation of the theory, research, and practice of psychodynamically oriented brief psychotherapy. It offers in-depth discussions of the major clinical and theoretical approaches, as well as examinations of other special topics in the application of brief therapy. Locating brief psychodynamic therapies within larger contexts, Stanley B. Messer and C. Seth Warren illuminate the impact of psychoanalytic ideas and theories - as well as cultural, historical, and intellectual trends - on each approach.

Author: Weston Anderson
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Social Science
Languages : en
Pages : 44

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Book Description
This study aims to explore and quantify systematic similarities and differences between four major global cropping systems products: the dataset of monthly irrigated and rainfed crop areas around the year 2000 (MIRCA2000), the spatial production allocation model (SPAM), the global agroecological zone (GAEZ) dataset, and the M3 dataset developed by Monfreda, Ramankutty, and Foley. The analysis explores not only the final cropping systems maps but also the interdependencies of each product, methodological differences, and modeling assumptions, which will provide users with information vital for discerning between datasets in selecting a product appropriate for each intended application.

Author: László Zsolt Garamszegi
Publisher: Springer
ISBN: 3662435500
Category : Science
Languages : en
Pages : 552

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Book Description
Phylogenetic comparative approaches are powerful analytical tools for making evolutionary inferences from interspecific data and phylogenies. The phylogenetic toolkit available to evolutionary biologists is currently growing at an incredible speed, but most methodological papers are published in the specialized statistical literature and many are incomprehensible for the user community. This textbook provides an overview of several newly developed phylogenetic comparative methods that allow to investigate a broad array of questions on how phenotypic characters evolve along the branches of phylogeny and how such mechanisms shape complex animal communities and interspecific interactions. The individual chapters were written by the leading experts in the field and using a language that is accessible for practicing evolutionary biologists. The authors carefully explain the philosophy behind different methodologies and provide pointers – mostly using a dynamically developing online interface – on how these methods can be implemented in practice. These “conceptual” and “practical” materials are essential for expanding the qualification of both students and scientists, but also offer a valuable resource for educators. Another value of the book are the accompanying online resources (available at: http://www.mpcm-evolution.com), where the authors post and permanently update practical materials to help embed methods into practice.

Author: Cliff Roberson
Publisher: CRC Press
ISBN: 1420065939
Category : Business & Economics
Languages : en
Pages : 354

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Book Description
While in Plato‘s time there may have been some truth to his belief that there can only be "one single justice, and one single law," such is not the case today. Criminal justice systems vary widely across the world in their approaches to the problem of crime. Bringing together the collective wisdom of Cliff Roberson and Dilip K. Das, two world

Author: Michael Alan Singer
Publisher: World Scientific
ISBN: 1908979305
Category : Science
Languages : en
Pages : 290

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Book Description
This book describes a novel and unique approach to the treatment of human diseases based on the study of natural animal models. A natural animal model is defined as an animal group or species that possesses a set of biochemical/physiological characteristics which are natural and adaptive for that animal, but are quite abnormal for humans. For example, how is it that birds can tolerate blood glucose concentrations which in humans are associated with diabetes. The natural animal model is living proof that a biological answer to this question is available. By studying natural animal models, we can gain valuable insights into the treatment of various human clinical disorders. Covering a wide range of disorders, this book describes in detail how medical scientists can take advantage of all the “research” that nature has already performed over billions of years in biological problem solving through extensive animal design testing and selection./a

Author: Constantine Gatsonis
Publisher: CRC Press
ISBN: 1351659456
Category : Mathematics
Languages : en
Pages : 547

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Book Description
Comparative effectiveness research (CER) is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care (IOM 2009). CER is conducted to develop evidence that will aid patients, clinicians, purchasers, and health policy makers in making informed decisions at both the individual and population levels. CER encompasses a very broad range of types of studies—experimental, observational, prospective, retrospective, and research synthesis. This volume covers the main areas of quantitative methodology for the design and analysis of CER studies. The volume has four major sections—causal inference; clinical trials; research synthesis; and specialized topics. The audience includes CER methodologists, quantitative-trained researchers interested in CER, and graduate students in statistics, epidemiology, and health services and outcomes research. The book assumes a masters-level course in regression analysis and familiarity with clinical research.

Author: Wellington Santos
Publisher: BoD – Books on Demand
ISBN: 9533070080
Category : Computers
Languages : en
Pages : 586

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Book Description
This book presents several recent advances on Evolutionary Computation, specially evolution-based optimization methods and hybrid algorithms for several applications, from optimization and learning to pattern recognition and bioinformatics. This book also presents new algorithms based on several analogies and metafores, where one of them is based on philosophy, specifically on the philosophy of praxis and dialectics. In this book it is also presented interesting applications on bioinformatics, specially the use of particle swarms to discover gene expression patterns in DNA microarrays. Therefore, this book features representative work on the field of evolutionary computation and applied sciences. The intended audience is graduate, undergraduate, researchers, and anyone who wishes to become familiar with the latest research work on this field.

Author: Lawrence Robert Klein
Publisher: Oxford University Press, USA
ISBN: 0195057724
Category : Business & Economics
Languages : en
Pages : 338

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Book Description
Each year, a number of different economic groups in the USA use their own econometric models to forecast what will happen to the economy in the coming year. This volume consists of chapters by distinguished economists comparing the different models now being used.

Author: Randall E. Schumacker
Publisher: Routledge
ISBN: 1317608097
Category : Psychology
Languages : en
Pages : 375

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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.