The.Hottest

Tuesday, October 01, 2019 , , ,
Bichara B. Muvdi, Souhail Elhouar ... 728 pages - Publisher: CRC Press; (May, 2016) ... Language: English - ISBN-10: 1466570717 - ISBN-13: 978-1466570719. 

Mechanics of Materials: With Applications in Excel covers the fundamentals of the mechanics of materials―or strength of materials―in a clear and easily understandable way. Each chapter explains the theory of the underlying principles and the applicable mathematical relations, offering examples that illustrate the application of the mathematical relations to physical situations. Then, homework problems―arranged from the simplest to the most demanding―are presented, along with a number of challenging review problems, to ensure comprehension of key concepts. What makes this book unique is that it also instills practical skills for developing Microsoft Excel applications to solve mechanics of materials problems using numerical techniques. Mechanics of Materials: With Applications in Excel provides editable Excel spreadsheets representing all the examples featured in the text, PowerPoint lecture slides, multimedia simulations, graphics files, and a solutions manual with qualifying course adoption.
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Tuesday, October 01, 2019 , , ,
Charles M. Judd, Gary H. McClelland, Carey S. Ryan ... 378 pages - Publisher: Routledge; 3rd edition (May, 2017) ... Language: English - ISBN-10: 1138819832 - ISBN-13: 978-1138819832.

Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond is an integrated treatment of data analysis for the social and behavioral sciences. It covers all of the statistical models normally used in such analyses, such as multiple regression and analysis of variance, but it does so in an integrated manner that relies on the comparison of models of data estimated under the rubric of the general linear model. Data Analysis also describes how the model comparison approach and uniform framework can be applied to models that include product predictors (i.e., interactions and nonlinear effects) and to observations that are nonindependent. Indeed, the analysis of nonindependent observations is treated in some detail, including models of nonindependent data with continuously varying predictors as well as standard repeated measures analysis of variance. This approach also provides an integrated introduction to multilevel or hierarchical linear models and logistic regression. Finally, Data Analysis provides guidance for the treatment of outliers and other problematic aspects of data analysis. It is intended for advanced undergraduate and graduate level courses in data analysis and offers an integrated approach that is very accessible and easy to teach.

Highlights of the third edition include: A new chapter on logistic regression; Expanded treatment of mixed models for data with multiple random factors; Updated examples; An enhanced website with PowerPoint presentations and other tools that demonstrate the concepts in the book; exercises for each chapter that highlight research findings from the literature; data sets, R code, and SAS output for all analyses; additional examples and problem sets; and test questions.
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Monday, September 30, 2019 , ,
R. C. Hibbeler ... 912 pages - Publisher: Pearson; 9th edition (January 13, 2013) ... Language: English - ISBN-10: 0133254429 - ISBN-13: 978-0133254426.

For undergraduate Mechanics of Materials courses in Mechanical, Civil, and Aerospace Engineering departments: Containing Hibbeler’s hallmark student-oriented features, this text is in four-color with a photorealistic art program designed to help students visualize difficult concepts.  A clear, concise writing style and more examples than any other text further contribute to students’ ability to master the material. This edition is available with MasteringEngineering, an innovative online program created to emulate the instructor’s office–hour environment, guiding students through engineering concepts from Mechanics of Materials with self-paced individualized coaching.
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