Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This monograph presents a comprehensive and up-to-date account of the developments in optimality aspects of crossover designs. Crossover designs are immensely useful in various areas of human investigation including agriculture, animal nutrition, clinical trials, pharmaceutical studies, biological assays, weather modification experiments, sensory evaluation of food products and learning experiments. Research on the optimality aspects of crossover designs has developed only in the last three decades, and it has now emerged as a potential field for further investigation. This book is the first c

Experimental design. --- Optimal designs (Statistics)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

An international team of biologists, philosophers, and historians of science explores the critically important process of replication in biological and biomedical research Without replication, the trustworthiness of scientific research remains in doubt. Although replication is increasingly recognized as a central problem in many scientific disciplines, repeating the same scientific observations of experiments or reproducing the same set of analyses from existing data is remarkably difficult. In this important volume, an international team of biologists, philosophers, and historians of science addresses challenges and solutions for valid replication of research in medicine, ecology, natural history, agriculture, physiology, and computer science.   After the introduction to important concepts and historical background, the book offers paired chapters that provide theoretical overviews followed by detailed case studies. These studies range widely in topics, from infectious-diseases and environmental monitoring to museum collections, meta-analysis, bioinformatics, and more. The closing chapters explicate and quantify problems in the case studies, and the volume concludes with important recommendations for best practices.

Biology --- Replication (Experimental design) --- Experimental design --- Biological research --- Biomedical research --- Research.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Principles of Experimentation: Designing Experiments and Analyzing Their Results introduces the basic concepts of experimentation as the rational use of experimental designs. This book covers the design of such plans as well as the analysis and interpretation of the results obtained. These concepts are presented in a very general manner and are illustrated with numerous examples. The set also includes numerical tables, a bibliographic index of more than 400 references, an index of English translations and a subject index. Additional information is available on a website. This book is intended for teachers, students and researchers in all disciplines who use the experimental method in universities, colleges and public and private research centers. It complements the books Statistical Theory and Methods: Agronomic Applications (2 vols.), originally published in 1969 and 1970, and Theoretical and Applied Statistics (2 vols.), (1998 and subsequent editions).

Experimental design. --- Mathematical optimization. --- Agriculture --- Research --- Statistical methods.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Social sciences --- Social sciences --- Experimental design. --- Experiments. --- Methodology.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

What makes a good experiment? Although experimental evidence plays an essential role in science, as Franklin argues, there is no algorithm or simple set of criteria for ranking or evaluating good experiments, and therefore no definitive answer to the question. Experiments can, in fact, be good in any number of ways: conceptually good, methodologically good, technically good, and pedagogically important. And perfection is not a requirement: even experiments with incorrect results can be good, though they must, he argues, be methodologically good, providing good reasons for belief in their results. What Makes a Good Experiment? revisits the important question Franklin posed in his 1981 article of the same title in BJPS, when it was generally believed that the only significant role of experiment in science was to test theories. But experiments can actually play a lot of different roles in science, as he explains--they can, for example, investigate a subject for which a theory does not exist, help to articulate an existing theory, call for a new theory, or correct incorrect or misinterpreted results. This book provides details of good experiments, with examples from physics and biology, illustrating the various ways they can be good and the different roles they can play.

Experimental design. --- Science --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Experiments --- Methodology --- Experimental design --- Science - Experiments --- Science - Methodology