Product Description: For an introductory, one or two semester, or sophomore-junior level course in Probability and Statistics or Applied Statistics for engineering, physical science, and mathematics students.   An Applications-Focused Introduction to Probability and Statistics Miller & Freund's Probability and Statistics for Engineers is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications...read more

Product Description: Throughout South Asia, people live in fear of death squads, from the Rapid Action Battalion of Bangladesh to the “encounter specialists” of India, army units in Nepal, the Frontier Corps of Pakistan, and the “men in white vans” of Sri Lanka...read more

This book discusses a broad range of statistical design and analysis methods that are particularly well suited to pollution data. It explains key statistical techniques in easy-to-comprehend terms and uses practical examples, exercises, and case studies to illustrate procedures. Dr. Gilbert begins by discussing a space-time framework for sampling pollutants. He then shows how to use statistical sample survey methods to estimate average and total amounts of pollutants in the environment, and how to determine the number of field samples and measurements to collect for this purpose. Then a broad range of statistical analysis methods are described and illustrated. These include: * determining the number of samples needed to find hot spots * analyzing pollution data that are lognormally distributed * testing for trends over time or space * estimating the magnitude of trends * comparing pollution data from two or more populations New areas discussed in this sourcebook include statistical techniques for data that are correlated, reported as less than the measurement detection limit, or obtained from field-composited samples. Nonparametric statistical analysis methods are emphasized since parametric procedures are often not appropriate for pollution data. This book also provides an illustrated comprehensive computer code for nonparametric trend detection and estimation analyses as well as nineteen statistical tables to permit easy application of the discussed statistical techniques. In addition, many publications are cited that deal with the design of pollution studies and the statistical analysis of pollution data. This sourcebook will be a useful tool for applied statisticians, ecologists, radioecologists, hydrologists, biologists, environmental engineers, and other professionals who deal with the collection, analysis, and interpretation of pollution in air, water, and soil.

Product Description: It is clear that the path from college to work has changed dramatically in recent years-current statistics show that half of young college graduates are either jobless or underemployed in positions that don't fully use their skills and knowledge...read more

Product Description: Eric Layton, an engineer in the solar industry who installs solar panels, wrote this guide for readers that are trying to build their own solar or wind system. Using pictures, this do-it-yourself (DIY) solar and wind system was built with a battery back-up system...read more

Product Description: This text is designed to teach semiconductor engineers to apply sophisticated statistical methods to problems of semiconductor manufacture and fabrication.

This book is a result of teaching stochastic processes to junior and senior undergr- uates and beginning graduate students over many years. In teaching such a course, we have realized a need to furnish students with material that gives a mathematical presentation while at the same time providing proper foundations to allow students to build an intuitive feel for probabilistic reasoning. We have tried to maintain a b- ance in presenting advanced but understandable material that sparks an interest and challenges students, without the discouragement that often comes as a consequence of not understanding the material. Our intent in this text is to develop stochastic p- cesses in an elementary but mathematically precise style and to provide suf?cient examples and homework exercises that will permit students to understand the range of application areas for stochastic processes. We also practice active learning in the classroom. In other words, we believe that the traditional practice of lecturing continuously for 50 to 75 minutes is not a very effective method for teaching. Students should somehow engage in the subject m- ter during the teaching session. One effective method for active learning is, after at most 20 minutes of lecture, to assign a small example problem for the students to work and one important tool that the instructor can utilize is the computer. So- times we are fortunate to lecture students in a classroom containing computers with a spreadsheet program, usually Microsoft’s Excel.

Product Description: Dieses Lehrbuch stellt die wichtigsten in der Ingenieurpraxis vorkommenden statistischen Verfahren vor und erklärt, wie sie funktionieren und angewendet werden – anschaulich, verständlich, mathematisch exakt und praxisnah. Eine Einführung in die Wahrscheinlichkeitsrechnung beleuchtet die Hintergründe, wichtige Formeln und Anleitungen sind übersichtlich hervorgehoben, und Beispiele sowie ausführliche Lösungen helfen beim Verstehen und Lernen, damit auf Fragen wie: „Erfüllt eine Produktion von Bauteilen die Anforderungen des Kunden? Liefern zwei Fertigungsverfahren die gleichen Resultate? Mit welcher Wahrscheinlichkeit fällt eine Maschinenkomponente frühestens nach 2000 Betriebsstunden aus?“ verlässliche Antworten gegeben werden können...read more

Product Description: Approach your problems from the right end It isn't that they can't see the solution. It is and begin with the answers. Then one day, that they can't see the problem. perhaps you will find the final question. G. K. Chesterton. The Scandal of Father 'The Hermit Clad in Crane Feathers' in R...read more

Product Description: A UNIQUELY PRACTICAL APPROACH TO ROBUST DESIGN FROM A STATISTICAL AND ENGINEERING PERSPECTIVE Variation in environment, usage conditions, and the manufacturing process has long presented a challenge in product engineering, and reducing variation is universally recognized as a key to improving reliability and productivity...read more

Product Description: Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work...read more

Product Description: The aim of the book is to develop methodology for reliablity analysis which is particularly suited to the types of partial information characteristic of mechanical systems and structures. The book is designed as an upper-level undergraduate or first-year graduate text on robust reliability of mechanical systems...read more

Product Description: Statistical Methods for Industrial Process Control was written to provide working engineers and engineering students with the statistical tools they must understand to practice engineering effectively. Statistical principles are illus­ trated with authentic semiconductor manufacturing processes examples-a prac­ tice that enables experienced engineers to build upon existing knowledge to leam new skills, and that introduces students to a fascinating industry...read more

Manufacturing systems have become increasingly complex over recent years. This volume presents a collection of chapters which reflect the recent developments of probabilistic models and methodologies that have either been motivated by manufacturing systems research or been demonstrated to have significant potential in such research. The editor has invited a number of leading experts to present detailed expositions of specific topics. These include: Jackson networks, fluid models, diffusion and strong approximations, the GSMP framework, stochastic convexity and majorization, perturbation analysis, scheduling via Brownian models, and re-entrant lines and dynamic scheduling. Each chapter has been written with graduate students in mind, and several have been used in graduate courses that teach the modeling and analysis of manufacturing systems.

Product Description: Uncertainty has been of concern to engineers, managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and uncertainty has for a long time been considered as in sciences, however, synonymous with random, stochastic, statistic, or probabilistic...read more

Product Description: A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION Optimal Resource Allocation: With Practical Statistical Applications and Theory features the application of probabilistic and statistical methods used in reliability engineering during the different phases of life cycles of technical systems...read more