Experimental Examples
Download Experimental Examples PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Experimental Examples book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Experimental Methods
Author: Daniel Friedman
language: en
Publisher: Cambridge University Press
Release Date: 1994-01-28
Experimental economics is a rapidly growing field of inquiry, and there currently exist several textbooks and surveys describing the results of laboratory experiments in economics. This primer, however, is the first hands-on guide to the physical aspects of actually conducting experiments in economics. It tells researchers, teachers and students in economics how to deal with human subjects, how to design meaningful laboratory environments, how to design experiments, how to conduct experiments and how to analyse and report the data. It also deals with methodological issues. It can be used to structure an undergraduate or graduate course in experimental economics.
Experimental Economics
Author: Nicolas Jacquemet
language: en
Publisher: Cambridge University Press
Release Date: 2018-11-29
Over the past two decades, experimental economics has moved from a fringe activity to become a standard tool for empirical research. With experimental economics now regarded as part of the basic tool-kit for applied economics, this book demonstrates how controlled experiments can be a useful in providing evidence relevant to economic research. Professors Jacquemet and L'Haridon take the standard model in applied econometrics as a basis to the methodology of controlled experiments. Methodological discussions are illustrated with standard experimental results. This book provides future experimental practitioners with the means to construct experiments that fit their research question, and new comers with an understanding of the strengths and weaknesses of controlled experiments. Graduate students and academic researchers working in the field of experimental economics will be able to learn how to undertake, understand and criticise empirical research based on lab experiments, and refer to specific experiments, results or designs completed with case study applications.
Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences
Author: Paul J. Mitchell
language: en
Publisher: John Wiley & Sons
Release Date: 2022-04-18
Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences A practical guide to the use of basic principles of experimental design and statistical analysis in pharmacology Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences provides clear instructions on applying statistical analysis techniques to pharmacological data. Written by an experimental pharmacologist with decades of experience teaching statistics and designing preclinical experiments, this reader-friendly volume explains the variety of statistical tests that researchers require to analyze data and draw correct conclusions. Detailed, yet accessible, chapters explain how to determine the appropriate statistical tool for a particular type of data, run the statistical test, and analyze and interpret the results. By first introducing basic principles of experimental design and statistical analysis, the author then guides readers through descriptive and inferential statistics, analysis of variance, correlation and regression analysis, general linear modelling, and more. Lastly, throughout the textbook are numerous examples from molecular, cellular, in vitro, and in vivo pharmacology which highlight the importance of rigorous statistical analysis in real-world pharmacological and biomedical research. This textbook also: Describes the rigorous statistical approach needed for publication in scientific journals Covers a wide range of statistical concepts and methods, such as standard normal distribution, data confidence intervals, and post hoc and a priori analysis Discusses practical aspects of data collection, identification, and presentation Features images of the output from common statistical packages, including GraphPad Prism, Invivo Stat, MiniTab and SPSS Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences is an invaluable reference and guide for undergraduate and graduate students, post-doctoral researchers, and lecturers in pharmacology and allied subjects in the life sciences.