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Experimental design --- Plan d'expérience --- Congrès --- Mathematical statistics --- Congresses. --- Experimental design - Congresses.
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Laboratory Experiments in the Social Sciences is the only book providing core information for researchers about the ways and means to conduct experiments. Its comprehensive regard for laboratory experiments encompasses how-to explanations, investigations of philosophies and ethics, explorations of experiments in specific social science disciplines, and summaries of both the history and future of social science laboratories. No other book offers such a direct avenue to enlarging our knowledge in the social sciences. This collection of original chapters combines instructions and advice about the design of laboratory experiments in the social sciences with the array of other issues. While there are books on experimental design and chapters in more general methods books on design, theory, and ethical issues, no other book attempts to discuss the fundamental ideas of the philosophy of science or lays out the methods comprehensively or in such detail. Experimentation has recently prospered because of increasing interest in cross-disciplinary syntheses, and this book of advice, guidelines, and observations underline its potential and increasing importance. Provides a comprehensive summary of issues in social science experimentation, from ethics to design, management, and financing Offers "how-to" explanations of the problems and challenges faced by everyone involved in social science experiments Pays attention to both practical problems and to theoretical and philosophical arguments Defines commonalities and distinctions within and among experimental situations across the social sciences
Experimental design. --- Social sciences --- Experiments. --- Sciences sociales --- Plan d'expérience --- Expériences
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This third edition of Design of Experiments for Engineers and Scientists adds to the tried and trusted tools that were successful in so many engineering organizations with new coverage of design of experiments (DoE) in the service sector. Case studies are updated throughout, and new ones are added on dentistry, higher education, and utilities. Although many books have been written on DoE for statisticians, this book overcomes the challenges a wider audience faces in using statistics by using easy-to-read graphical tools. Readers will find the concepts in this book both familiar and easy to understand, and users will soon be able to apply them in their work or research. This classic book is essential reading for engineers and scientists from all disciplines tackling all kinds of product and process quality problems and will be an ideal resource for students of this topic.
Experimental design. --- Research, Industrial. --- Plan d'expérience. --- Recherche industrielle. --- Experimental design --- Research, Industrial --- Scientific research.
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While there are many books available on statistical analysis of data from experiments, there is significantly less available on the design, development, and actual conduct of the experiments. Laboratory Experiments in the Social Sciences summarizes how to design and conduct scientifically sound experiments, be they from surveys, interviews, observations, or experimental methods. The book encompasses how to collect reliable data, the appropriate uses of different methods, and how to avoid or resolve common problems in experimental research. Case study examples illustrate how multiple
Social sciences --- Experimental design. --- Experiments. --- Sciences sociales --- Plan d'expérience --- Expériences. --- Plan d'expérience --- Expériences.
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Conjugate gradient methods --- Experimental design --- Linear models (Statistics) --- Plan d'expérience --- Data processing --- Informatique --- Data processing.
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Revised and expanded, this popular text explores the basic methodology of paired comparisons, incorporating recent developments in research by statisticians, psychometricians, mathematicians, and economists. The emphasis continues to be on nonparametric procedures that are widely applicable, and on the analogy between comparisons and tournaments. Design, analysis, and the choice of probability models are fully discussed. The number of bibliographical references has nearly doubled since the book first appeared. This extensive reference work will interest readers from many fields, including statistics, psychometrics, epidemiology, and economics.
Research Design --- Statistics --- Experimental design --- Paired comparisons (Statistics) --- Plan d'expérience --- Experimental design. --- Paired comparisons (Statistics). --- Plan d'expérience --- Research Design.
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Statistical mathematics --- Experimental design --- Statistique mathématique --- Plan d'expérience --- experimentation. --- experimentation --- Statistical methods --- Agriculture --- Plan d'expérience --- Mathematical models --- Méthodes statistiques
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Experimental design --- Plan d'expérience --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Experiments --- Methodology --- Experimental design. --- Plan d'expérience
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Experimental design --- Psychology --- Psychology, Experimental --- Plan d'expérience --- Psychologie --- Psychologie expérimentale --- Research --- Recherche --- Experimental design. --- Psychology, Experimental. --- Methoden en technieken --- Research. --- algemene methodologie --- algemene methodologie. --- Algemene methodologie. --- Plan d'expérience --- Psychologie expérimentale
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