tools techniques social science (16 Ergebnisse)

Paperback. Zustand: UsedAcceptable. ASIN: B008EEQETA Paperback; fading, light soiling, and edge wear to exterior; creases to bottom front, top rear corner of cover; former owner's name written on front endpaper; small amount of highlighting and underlining; otherwise in acceptable condition with firm binding.

Soft cover. Zustand: New. ISBN:9788195706051,242pp.

Paperback. Zustand: new. Paperback. This book provides an overview of soical science simulation as a tool for modelling and theory building. It is shown how simulation may be applied to the analysis of social and economic problems using techniques such as multi-agent simulation, cellular automata and multi-level modelling. Particular attention is paid to the sensitivity analysis of model parameters. The book also describes the architecture and user interfaces of several simulation tools. The book is based on an international conference that brought together social scientists and computer scientists engaged in a wide range of simulation approaches. It represents a report on the state of the art in social science simulation. The use of computer simulations to study social phenomena has grown rapidly during the last few years. Many social scientists from the fields of economics, sociology, psychology and other disciplines now use computer simulations to study a wide range of social phenomena. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New.

Zustand: New. In.

Zustand: New. pp. 396.

Paperback. Zustand: Brand New. 387 pages. 9.50x6.50x1.00 inches. In Stock.

Paperback. Zustand: new. Paperback. This book provides an overview of soical science simulation as a tool for modelling and theory building. It is shown how simulation may be applied to the analysis of social and economic problems using techniques such as multi-agent simulation, cellular automata and multi-level modelling. Particular attention is paid to the sensitivity analysis of model parameters. The book also describes the architecture and user interfaces of several simulation tools. The book is based on an international conference that brought together social scientists and computer scientists engaged in a wide range of simulation approaches. It represents a report on the state of the art in social science simulation. The use of computer simulations to study social phenomena has grown rapidly during the last few years. Many social scientists from the fields of economics, sociology, psychology and other disciplines now use computer simulations to study a wide range of social phenomena. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Mass Market Paperback. Zustand: Good.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data analysis is a very familiar part of research work on the one hand but is also a very hard job for researchers on the other. The subject matter of this handbook has been divided into two parts. The first part deals with the Classification of Data, Tools, and Techniques of collecting data, and Methods of collecting data. The second part deals with the Presentation of data and analysis of data: descriptive data analysis and inferential data analysis. This book is primarily intended to serve as a handbook for undergraduate, postgraduate, M.Phil., and Ph.D. students in social sciences for analyzing the data.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The use of computer simulations to study social phenomena has grown rapidly during the last few years. Many social scientists from the fields of economics, sociology, psychology and other disciplines now use computer simulations to study a wide range of social phenomena. The availability of powerful personal computers, the development of multidisciplinary approaches and the use of artificial intelligence models have all contributed to this development. The benefits of using computer simulations in the social sciences are obvious. This holds true for the use of simulations as tools for theory building and for its implementation as a tool for sensitivity analysis and parameter optimization in application-oriented models. In both, simulation provides powerful tools for the study of complex social systems, especially for dynamic and multi-agent social systems in which mathematical tractability is often impossible. The graphical display of simulation output renders it user friendly to many social scientists that lack sufficient familiarity with the language of mathematics. The present volume aims to contribute in four directions: (1) To examine theoretical and methodological issues related to the application of simulations in the social sciences. By this we wish to promote the objective of designing a unified, user-friendly, simulation toolkit which could be applied to diverse social problems. While no claim is made that this objective has been met, the theoretical issues treated in Part 1 of this volume are a contribution towards this objective. 396 pp. Englisch.

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The use of computer simulations to study social phenomena has grown rapidly during the last few years. Many social scientists from the fields of economics, sociology, psychology and other disciplines now use computer simulations to study a wide range of soc.

Zustand: New. Print on Demand pp. 396 101 Figures, 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Zustand: New. PRINT ON DEMAND pp. 396.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The use of computer simulations to study social phenomena has grown rapidly during the last few years. Many social scientists from the fields of economics, sociology, psychology and other disciplines now use computer simulations to study a wide range of social phenomena. The availability of powerful personal computers, the development of multidisciplinary approaches and the use of artificial intelligence models have all contributed to this development. The benefits of using computer simulations in the social sciences are obvious. This holds true for the use of simulations as tools for theory building and for its implementation as a tool for sensitivity analysis and parameter optimization in application-oriented models. In both, simulation provides powerful tools for the study of complex social systems, especially for dynamic and multi-agent social systems in which mathematical tractability is often impossible. The graphical display of simulation output renders it user friendly to many social scientists that lack sufficient familiarity with the language of mathematics. The present volume aims to contribute in four directions: (1) To examine theoretical and methodological issues related to the application of simulations in the social sciences. By this we wish to promote the objective of designing a unified, user-friendly, simulation toolkit which could be applied to diverse social problems. While no claim is made that this objective has been met, the theoretical issues treated in Part 1 of this volume are a contribution towards this objective.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 396 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The use of computer simulations to study social phenomena has grown rapidly during the last few years. Many social scientists from the fields of economics, sociology, psychology and other disciplines now use computer simulations to study a wide range of social phenomena. The availability of powerful personal computers, the development of multidisciplinary approaches and the use of artificial intelligence models have all contributed to this development. The benefits of using computer simulations in the social sciences are obvious. This holds true for the use of simulations as tools for theory building and for its implementation as a tool for sensitivity analysis and parameter optimization in application-oriented models. In both, simulation provides powerful tools for the study of complex social systems, especially for dynamic and multi-agent social systems in which mathematical tractability is often impossible. The graphical display of simulation output renders it user friendly to many social scientists that lack sufficient familiarity with the language of mathematics. The present volume aims to contribute in four directions: (1) To examine theoretical and methodological issues related to the application of simulations in the social sciences. By this we wish to promote the objective of designing a unified, user-friendly, simulation toolkit which could be applied to diverse social problems. While no claim is made that this objective has been met, the theoretical issues treated in Part 1 of this volume are a contribution towards this objective.