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The third edition of Engineering Mechanics: Statics written by nationally regarded authors Andrew Pytel and Jaan Kiusalaas, provides students with solid coverage of material without the overload of extraneous detail. The extensive teaching experience of the authorship team provides first-hand knowledge of the learning skill levels of today's student which is reflected in the text through the pedagogy and the tying together of real world problems and examples with the fundamentals of Engineering Mechanics. Designed to teach students how to effectively analyze problems before plugging numbers into formulas, students benefit tremendously as they encounter real life problems that may not always fit into standard formulas. This book was designed with a rich, concise, two-color presentation and has a stand alone Study Guide which includes further problems, examples, and case studies. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

ISBN10 : 0495295590 , ISBN13 : 9780495295594

Page Number : 560

This “lucid, masterfully written introduction to an often difficult subject . . . belongs on the bookshelf of every student of statistical physics” (Dr. Brian J. Albright, Applied Physics Division, Los Alamos National Laboratory). This book provides an accessible introduction to stochastic processes in physics and describes the basic mathematical tools of the trade: probability, random walks, and Wiener and Ornstein-Uhlenbeck processes. With an emphasis on applications, it includes end-of-chapter problems. Physicist and author Don S. Lemons builds on Paul Langevin’s seminal 1908 paper “On the Theory of Brownian Motion” and its explanations of classical uncertainty in natural phenomena. Following Langevin’s example, Lemons applies Newton’s second law to a “Brownian particle on which the total force included a random component.” This method builds on Newtonian dynamics and provides an accessible explanation to anyone approaching the subject for the first time. This volume contains the complete text of Paul Langevin’s “On the Theory of Brownian Motion,” translated by Anthony Gythiel.

ISBN10 : 9780801876387 , ISBN13 : 0801876389

Page Number : 165

ISBN10 : 0130410470 , ISBN13 : 9780130410474

Page Number : 570

This text fully integrates applications and technology into the linear algebra course, and provides coverage of provocative topics, such as chaos theory and coding theory. The authors designed this text to be rich in examples, exercises, and applications. It includes all basic linear algebra theory, most important numerical methods, and incorporates technology without sacrificing material basic to the course.

ISBN10 : UCSC:32106017194066 , ISBN13 :

Page Number : 694

The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.

ISBN10 : 9780470192603 , ISBN13 : 0470192607

Page Number : 690

Achieve success in your physics course by making the most of what PHYSICS FOR SCIENTISTS AND ENGINEERS has to offer. From a host of in-text features to a range of outstanding technology resources, you'll have everything you need to understand the natural forces and principles of physics. Throughout every chapter, the authors have built in a wide range of examples, exercises, and illustrations that will help you understand the laws of physics AND succeed in your course! Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

ISBN10 : 1133954154 , ISBN13 : 9781133954156

Page Number : 0

This book contains up-to-date studies on the economics of sustainable energy in agriculture. The studies focus on energy efficiency improvement and the use of biomass. Specific attention is paid to the economic aspects of land use and the competition for land, both for food production and dedicated energy crops. The book will be of special interest to economists, agronomists, energy experts, and politicians that deal with energy issues in agriculture, both in developing and industrialised countries. The book is relevant for those who are interested in the topic of global warming and carbon sequestration, and the transition towards carbon-free energy resources.

ISBN10 : 9780306480188 , ISBN13 : 0306480182

Page Number : 243