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Author: Leslie David Hayes Publisher: Forgotten Books ISBN: 9780365355861 Category : Technology & Engineering Languages : en Pages : 110
Book Description
Excerpt from Empirical Design This book has been planned especially to meet the needs of the second year students in the Department of Machine Design of Cornell University. It is hoped, however, that the material is of a nature and the arrangement such as to meet. In a fair degree, the needs of other technical schools and colleges for a course in design to follow the elementary Mechanical Drawing and Descriptive Geometry before the student has had the necessary preparation in Mechanics for a course in theoretical design. It is intended to give in a convenient form such tables, formulas and curves for the empirical proportioning of machine parts as are necessary in a brief course in Empirical Design, and such instruo tion as to the methods of their derivation and use that the student, upon the completion of the course, may be able to use material of this nature understandingly and to derive new material if he so desires. The data have been collected at different times and have been in use in teaching this course in Cornell University for a considerable period. The purpose and manner of using the various machine parts is explained in detail for the benefit of those students whose previous training has left them wholly unfamiliar with machinery. In the descriptions and explanations a fair knowledge of the principles of Mechanical Drawing, Descriptive Geometry and Analytical Geometry has been assumed. NO attempt has been made to intrude upon the field of the engineer's handbook but the proportions have been carefully com piled with the intent that any here given shall be reliable within the limits of good design, and some of the more commonly used mathematical tables have been added with a View to making it a desirable book for reference in the more advanced classes in Machine Design. Acknowledgment is due to Professors E. H. Wood and C. D. Albert and to Mr. L. J. Bradford for suggestions and criticisms. The author is indebted to Professor Wood for the use of the pro portions derived by him for many of the machine parts described. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Author: Norman H. Anderson Publisher: Psychology Press ISBN: 1135643393 Category : Psychology Languages : en Pages : 879
Book Description
The goal of Norman H. Anderson's new book is to help students develop skills of scientific inference. To accomplish this he organized the book around the "Experimental Pyramid"--six levels that represent a hierarchy of considerations in empirical investigation--conceptual framework, phenomena, behavior, measurement, design, and statistical inference. To facilitate conceptual and empirical understanding, Anderson de-emphasizes computational formulas and null hypothesis testing. Other features include: *emphasis on visual inspection as a basic skill in experimental analysis to help students develop an intuitive appreciation of data patterns; *exercises that emphasize development of conceptual and empirical application of methods of design and analysis and de-emphasize formulas and calculations; and *heavier emphasis on confidence intervals than significance tests. The book is intended for use in graduate-level experimental design/research methods or statistics courses in psychology, education, and other applied social sciences, as well as a professional resource for active researchers. The first 12 chapters present the core concepts graduate students must understand. The next nine chapters serve as a reference handbook by focusing on specialized topics with a minimum of technicalities.
Author: Leslie David Hayes Publisher: Forgotten Books ISBN: 9780365355861 Category : Technology & Engineering Languages : en Pages : 110
Book Description
Excerpt from Empirical Design This book has been planned especially to meet the needs of the second year students in the Department of Machine Design of Cornell University. It is hoped, however, that the material is of a nature and the arrangement such as to meet. In a fair degree, the needs of other technical schools and colleges for a course in design to follow the elementary Mechanical Drawing and Descriptive Geometry before the student has had the necessary preparation in Mechanics for a course in theoretical design. It is intended to give in a convenient form such tables, formulas and curves for the empirical proportioning of machine parts as are necessary in a brief course in Empirical Design, and such instruo tion as to the methods of their derivation and use that the student, upon the completion of the course, may be able to use material of this nature understandingly and to derive new material if he so desires. The data have been collected at different times and have been in use in teaching this course in Cornell University for a considerable period. The purpose and manner of using the various machine parts is explained in detail for the benefit of those students whose previous training has left them wholly unfamiliar with machinery. In the descriptions and explanations a fair knowledge of the principles of Mechanical Drawing, Descriptive Geometry and Analytical Geometry has been assumed. NO attempt has been made to intrude upon the field of the engineer's handbook but the proportions have been carefully com piled with the intent that any here given shall be reliable within the limits of good design, and some of the more commonly used mathematical tables have been added with a View to making it a desirable book for reference in the more advanced classes in Machine Design. Acknowledgment is due to Professors E. H. Wood and C. D. Albert and to Mr. L. J. Bradford for suggestions and criticisms. The author is indebted to Professor Wood for the use of the pro portions derived by him for many of the machine parts described. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Author: Thomas Boothby Publisher: Emerald Group Publishing ISBN: 0727766341 Category : Technology & Engineering Languages : en Pages : 129
Book Description
Through case studies from North America, Europe and Asia, Empirical Design in Structural Engineering shows that empirical design is practised much more widely than is generally understood,that it can make a valuable contribution to structural engineering design, and can be found embedded within the procedures of rational engineering design.
Author: Forrest Shull Publisher: Springer Science & Business Media ISBN: 1848000448 Category : Computers Languages : en Pages : 393
Book Description
This book gathers chapters from some of the top international empirical software engineering researchers focusing on the practical knowledge necessary for conducting, reporting and using empirical methods in software engineering. Topics and features include guidance on how to design, conduct and report empirical studies. The volume also provides information across a range of techniques, methods and qualitative and quantitative issues to help build a toolkit applicable to the diverse software development contexts
Author: Janice M. Lauer Publisher: Oxford University Press, USA ISBN: Category : Language Arts & Disciplines Languages : en Pages : 328
Book Description
Intended for writing instructors at all levels who lack the training to deal effectively with the increasingly important role played by empirical research in their field, Composition Research explains ten of the most common empirical designs used in the social sciences. These include: casestudy, ethnography, sampling/survey, quantitative descriptive research, prediction and classification studies, true and quasi-experiments, meta-analysis, and program evaluation. Each design is explained with reference to at least two specific composition studies, and includes a separatebibliography that identifies further writing studies that use it. The book also features a chapter on measurement, an appendix on statistical analyses, a glossary of technical terms and symbols, and guidelines for research on human subjects.
Author: Scott A. Pardo Publisher: Springer ISBN: 3319327682 Category : Mathematics Languages : en Pages : 255
Book Description
This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and "applied science" is design. Scientists are in the discovery business and want, in general, to understand the natural world rather than to alter it. In contrast, engineers and applied scientists design products, processes, and solutions to problems. That said, statistics, as a discipline, is mostly oriented toward the discovery paradigm. Young engineers come out of their degree programs having taken courses such as "Statistics for Engineers and Scientists" without any clear idea as to how they can use statistical methods to help them design products or processes. Many seem to think that statistics is only useful for demonstrating that a device or process actually does what it was designed to do. Statistics courses emphasize creating predictive or classification models - predicting nature or classifying individuals, and statistics is often used to prove or disprove phenomena as opposed to aiding in the design of a product or process. In industry however, Chemical Engineers use designed experiments to optimize petroleum extraction; Manufacturing Engineers use experimental data to optimize machine operation; Industrial Engineers might use data to determine the optimal number of operators required in a manual assembly process. This text teaches engineering and applied science students to incorporate empirical investigation into such design processes. Much of the discussion in this book is about models, not whether the models truly represent reality but whether they adequately represent reality with respect to the problems at hand; many ideas focus on how to gather data in the most efficient way possible to construct adequate models. Includes chapters on subjects not often seen together in a single text (e.g., measurement systems, mixture experiments, logistic regression, Taguchi methods, simulation) Techniques and concepts introduced present a wide variety of design situations familiar to engineers and applied scientists and inspire incorporation of experimentation and empirical investigation into the design process. Software is integrally linked to statistical analyses with fully worked examples in each chapter; fully worked using several packages: SAS, R, JMP, Minitab, and MS Excel - also including discussion questions at the end of each chapter. The fundamental learning objective of this textbook is for the reader to understand how experimental data can be used to make design decisions and to be familiar with the most common types of experimental designs and analysis methods.
Author: Leslie David Hayes
Author: Norman H. Anderson
Author: Leslie David Hayes
Author: Thomas Boothby
Author: Leslie David Hayes
Author: Forrest Shull
Author: David Prevallet
Author: John Joseph Wood
Author: Janice M. Lauer
Author: Scott A. Pardo
Author: Brian Mark Killingsworth