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Advanced Mathematics for Engineers with Applications in Stochastic Processes (Mathematics Research Developments) - Tapa dura

 
9781608768806: Advanced Mathematics for Engineers with Applications in Stochastic Processes (Mathematics Research Developments)

Sinopsis

Topics in advanced mathematics for engineers, probability and statistics typically span three subject areas, are addressed in three separate textbooks and taught in three different courses in as many as three semesters. Due to this arrangement, students taking these courses have had to shelf some important and fundamental engineering courses until much later than is necessary. This practice has generally ignored some striking relations that exist between the seemingly separate areas of statistical concepts, such as moments and estimation of Poisson distribution parameters. On one hand, these concepts commonly appear in stochastic processes -- for instance, in measures on effectiveness in queuing models. On the other hand, they can also be viewed as applied probability in engineering disciplines -- mechanical, chemical, and electrical, as well as in engineering technology. There is obviously, an urgent need for a textbook that recognises the corresponding relationships between the various areas and a matching cohesive course that will see through to their fundamental engineering courses as early as possible. This book is designed to achieve just that. Its seven chapters, while retaining their individual integrity, flow from selected topics in advanced mathematics such as complex analysis and wavelets to probability, statistics and stochastic processes.

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Topics in advanced mathematics for engineers, probability and statistics typically span three subject areas, are addressed in three separate textbooks and taught in three different courses in as many as three semesters. Due to this arrangement, students taking these courses have had to shelf some important and fundamental engineering courses until much later than is necessary. This practice has generally ignored some striking relations that exist between the seemingly separate areas of statistical concepts, such as moments and estimation of Poisson distribution parameters. On one hand, these concepts commonly appear in stochastic processes -- for instance, in measures on effectiveness in queuing models. On the other hand, they can also be viewed as applied probability in engineering disciplines -- mechanical, chemical, and electrical, as well as in engineering technology. There is obviously, an urgent need for a textbook that recognises the corresponding relationships between the various areas and a matching cohesive course that will see through to their fundamental engineering courses as early as possible. This book is designed to achieve just that. Its seven chapters, while retaining their individual integrity, flow from selected topics in advanced mathematics such as complex analysis and wavelets to probability, statistics and stochastic processes.

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9781622576104: Advanced Mathematics for Engineers with Applications in Stochastic Processes (Mathematics Research Developments)

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ISBN 10:  1622576101 ISBN 13:  9781622576104
Editorial: Nova Science Publishers Inc, 2013
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Aliakbar Montazer Haghighi, Jian-ao Lian, Dimitar P. Mishev
ISBN 10: 1608768805 ISBN 13: 9781608768806
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Aliakbar Montazer Haghighi, Jian-ao Lian, Dimitar P. Mishev
Publicado por Nova Science Publishers, Inc., 2010
ISBN 10: 1608768805 ISBN 13: 9781608768806
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