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This is a collection of important lecture and original articles and commentaries by Martin Perl, discoverer of the tau lepton and the third generation of elementary particles, and this year''s Nobel Prize winner. This book contains a fascinating and realistic picture of experimental science based on the high energy physics research work carried out by him. Using reprints of his articles with his commentaries, the author presents the various aspects of experimental research in science: the pleasures and risks of experimental work; the pain and frustration with experiments that are useless or fail; the dreaming about experiments that were not carried out; the constant search for innovation and creativity in the work; and the special joy of discovery. The articles and commentaries range from the early days of bubble chambers and spark chambers in the 1950''s to the author''s present research, experiments at an electron-positron collider and a search for free quarks. The book is for the general reader as well as the scientist.
Novel collection of essays addressing contemporary trends in political science, covering a broad array of methodological and substantive topics.
An overview of experimental methods providing practical advice to students seeking guidance with their experimental work.
This book is a new edition of a classic text on experimental methods and instruments in surface science. It offers practical insight useful to chemists, physicists, and materials scientists working in experimental surface science. This enlarged second edition contains almost 300 descriptions of experimental methods. The more than 50 active areas with individual scientific and measurement concepts and activities relevant to each area are presented in this book. The key areas covered are: Vacuum System Technology, Mechanical Fabrication Techniques, Measurement Methods, Thermal Control, Delivery of Adsorbates to Surfaces, UHV Windows, Surface Preparation Methods, High Area Solids, Safety. The book is written for researchers and graduate students.
Increasingly, political scientists use the term 'experiment' or 'experimental' to describe their empirical research. One of the primary reasons for doing so is the advantage of experiments in establishing causal inferences. In this book, Rebecca B. Morton and Kenneth C. Williams discuss in detail how experiments and experimental reasoning with observational data can help researchers determine causality. They explore how control and random assignment mechanisms work, examining both the Rubin causal model and the formal theory approaches to causality. They also cover general topics in experimentation such as the history of experimentation in political science; internal and external validity of experimental research; types of experiments - field, laboratory, virtual, and survey - and how to choose, recruit, and motivate subjects in experiments. They investigate ethical issues in experimentation, the process of securing approval from institutional review boards for human subject research, and the use of deception in experimentation.
Experiments are a central methodology in the social sciences. Scholars from every discipline regularly turn to experiments. Practitioners rely on experimental evidence in evaluating social programs, policies, and institutions. This book is about how to “think” about experiments. It argues that designing a good experiment is a slow moving process (given the host of considerations) which is counter to the current fast moving temptations available in the social sciences. The book includes discussion of the place of experiments in the social science process, the assumptions underlying different types of experiments, the validity of experiments, the application of different designs, how to arrive at experimental questions, the role of replications in experimental research, and the steps involved in designing and conducting “good” experiments. The goal is to ensure social science research remains driven by important substantive questions and fully exploits the potential of experiments in a thoughtful manner.
An introduction to the Bayesian approach to statistical inference that demonstrates its superiority to orthodox frequentist statistical analysis. This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free methods. It covers not only well-developed methods for doing Bayesian statistics but also novel tools that enable Bayesian statistical analyses for cases that previously did not have a full Bayesian solution. The book's premise is that there are fundamental problems with orthodox frequentist statistical analyses that distort the scientific process. Side-by-side comparisons of Bayesian and frequentist methods illustrate the mismatch between the needs of experimental scientists in making inferences from data and the properties of the standard tools of classical statistics.
Now available in a paperback edition is a book which has been described as ``...an exceptionally lucid, easy-to-read presentation... would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm.'' (Analytical Chemistry). Unlike most current textbooks, it approaches experimental design from the point of view of the experimenter, rather than that of the statistician. As the reviewer in `Analytical Chemistry' went on to say: ``Deming and Morgan should be given high praise for bringing the principles of experimental design to the level of the practicing analytical chemist.''.The book first introduces the reader to the fundamentals of experimental design. Systems theory, response surface concepts, and basic statistics serve as a basis for the further development of matrix least squares and hypothesis testing. The effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance (ANOVA) are extensively discussed. Applications and advanced topics (such as confidence bands, rotatability, and confounding) complete the text. Numerous worked examples are presented.The clear and practical approach adopted by the authors makes the book applicable to a wide audience. It will appeal particularly to those with a practical need (scientists, engineers, managers, research workers) who have completed their formal education but who still need to know efficient ways of carrying out experiments. It will also be an ideal text for advanced undergraduate and graduate students following courses in chemometrics, data acquisition and treatment, and design of experiments.
Lynn Thorndike's 'History of Magic and Experimental Science' delves deep into the origins and development of magic and science, exploring their interconnected histories through the ages. Thorndike's scholarly approach and detailed research provide readers with a comprehensive understanding of how these fields evolved alongside each other, shaping the intellectual landscape of Western civilization. Drawing on a wide range of sources, Thorndike illuminates the cultural and sociopolitical contexts in which magical and scientific thought emerged, offering a rich tapestry of knowledge for readers to explore. Lynn Thorndike, a renowned historian and academic, brings his expertise to bear in this monumental work, showcasing the depth of his knowledge and passion for the subject matter. His meticulous research and engaging writing style make 'History of Magic and Experimental Science' a must-read for anyone interested in the history of ideas and the evolution of human thought. For readers seeking a scholarly and insightful exploration of the intertwined histories of magic and science, Lynn Thorndike's 'History of Magic and Experimental Science' is an indispensable resource. This two-volume work offers a wealth of information and analysis that will captivate both academics and general readers interested in the roots of Western intellectual tradition.
The International Workshop on "The Use of Super computers in Theoretical Science" took place from July 30 till August 1, 1984, at the Conference Center of the "Priorij Corsendonk", close to the city of Antwerpen, Belgium. During the past decade computational science has developed itself to a third methodology besides the experimental and theoretical sciences. This remarkable evolution was only possible due to a drastic increase of the computational power of present day computers. Indeed, computational physics and chemistry as such is certainly not new, but it was only during the past ten years or so that realistic problems could be solved numerically to a sufficient degree of accuracy. During this workshop the state-of-the-art in high speed computation was presented by a team of lecturers who are well known for their competence in this field. It is a pleasure to thank several organizations and companies who made this workshop possible. First of all, the main sponsors: the Belgian National Science Found ation (NFWO-FNRS) and the "Universitaire Instelling Ant werpen". Next, the co-sponsors: Agfa-Gevaert N. V., Control Data Belgium and the Belgian Ministry of Education. Special thanks are due to Dr. P.E. Van Camp and Drs. H. Nachtegaele for the practical organization of this workshop. I would also like to thank Mrs. H. Evans for typing the manuscripts and for preparing the author and subject index. v Last but not least I express my gratitude to Mr.