the Nest of Students

Alfredo H-S. Ang,‎ W. H. Tang ... 420 pages - Publisher: Wiley; 2nd edition (March, 2006) ... Language: English - ISBN-10: 047172064X - ISBN-13: 978-0471720645 ...

Apply the principles of probability and statistics to realistic engineering problems: The easiest and most effective way to learn the principles of probabilistic modeling and statistical inference is to apply those principles to a variety of applications. That's why Ang and Tang's Second Edition of Probability Concepts in Engineering (previously titled Probability Concepts in Engineering Planning and Design) explains concepts and methods using a wide range of problems related to engineering and the physical sciences, particularly civil and environmental engineering. Now extensively revised with new illustrative problems and new and expanded topics, this Second Edition will help you develop a thorough understanding of probability and statistics and the ability to formulate and solve real-world problems in engineering. The authors present each basic principle using different examples, and give you the opportunity to enhance your understanding with practice problems. The text is ideally suited for students, as well as those wishing to learn and apply the principles and tools of statistics and probability through self-study. Key Features in this 2nd Edition: * A new chapter (Chapter 5) covers Computer-Based Numerical and Simulation Methods in Probability, to extend and expand the analytical methods to more complex engineering problems. * New and expanded coverage includes distribution of extreme values (Chapter 3), the Anderson-Darling method for goodness-of-fit test (Chapter 6), hypothesis testing (Chapter 6), the determination of confidence intervals in linear regression (Chapter 8), and Bayesian regression and correlation analyses (Chapter 9). * Many new exercise problems in each chapter help you develop a working knowledge of concepts and methods. * Provides a wide variety of examples, including many new to this edition, to help you learn and understand specific concepts. * Illustrates the formulation and solution of engineering-type probabilistic problems through computer-based methods, including developing computer codes using commercial software such as MATLAB and MATHCAD. * Introduces and develops analytical probabilistic models and shows how to formulate engineering problems under uncertainty, and provides the fundamentals for quantitative risk assessment.

Asphalt Institute (AI) ... 188 pages - Publisher: Asphalt Institute (AI); 7th edition (2015) ... Language: English - ISBN-10: 1934154709 - ISBN-13: 978-1934154700 ...

The manual is a practical guide based on proven technologies, incorporating the most current information available at the time of writing. This edition offers significantly expanded application and guidance relative to our previous mix design manuals. AASHTO, ASTM and other published standards are referenced often in addition to important research findings.

Jasbir S. Arora ... 610 pages - Publisher: Wspc; (September, 2007) ... Language: English - ASIN: B00O6AKF28 by Amazon Digital Services ...

Syed Mehdi Ashraf ... 452 pages - Publisher: CRC Press; 1st edition (September, 2017) ... Language: English - ISBN-10: 149876570X - ISBN-13: 978-1498765701 ...

This book will provide comprehensive, practical knowledge for the design of reinforced concrete buildings. The approach will be unique as it will focus primarily on the design of various structures and structural elements as done in design offices with an emphasis on compliance with the relevant codes. It will give an overview of the integrated design of buildings and explain the design of various elements such as slabs, beams, columns, walls, and footings. It will be written in easy-to-use format and refer to all the latest relevant American codes of practice (IBC and ASCE) at every stage. The book will compel users to think critically to enhance their intuitive design capabilities.

Florin Gorunescu ... 360 pages - Publisher: Springer; (June, 2011) ... Language: English - ISBN-10: 3642197205 - ISBN-13: 978-3642197208 ...

The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the ‘natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since “knowledge is power”. The goal of this book is to provide, in a friendly way, both theoretical concepts and, especially, practical techniques of this exciting field, ready to be applied in real-world situations. Accordingly, it is meant for all those who wish to learn how to explore and analysis of large quantities of data in order to discover the hidden nugget of information.