the Academic NEST

Rao V. Dukkipati ... 680 pages - Publisher: Anshan Publishers; (October, 2010) ... Language: English - ISBN-10: 1904798675 - ISBN-13: 978-1848290433

This book presents an introduction to MATLAB and its applications in engineering problem solving. It is designed as an introductory course in MATLAB for engineers. The classical methods of electrical circuits,control systems, numerical methods, optimization, direct numerical integration methods, engineering mechanics and mechanical vibrations are covered using MATLAB software. The numerous worked examples and unsolved exercise problems are intended to provide the reader with an awareness of the general applicability to electrical circuits, control systems, numerical methods, optimization, direct numerical integration methods, engineering mechanics and mechanical vibrations using MATLAB. Contents: MATLAB Basics - Electrical Circuits - Control Systems - Numerical Methods - Optimization - Direct Numerical Integration Methods - Engineering Mechanics - Mechanical Vibration.

Steve Brooks, Andrew Gelman ... 619 pages - Publisher: Chapman and Hall/CRC; (May, 2011) ... Language: English - ISBN-10: 1420079417 - ISBN-13: 978-1420079418.

Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an astonishing array of disciplines as diverse as fisheries science and economics. The wide-ranging practical importance of MCMC has sparked an expansive and deep investigation into fundamental Markov chain theory. 

Ronald Christensen, Wesley Johnson, Adam Branscum, T. E. Hanson ... 516 pages - Publisher: CRC Press; 1st edition (July, 2010) - Language: English - ISBN-10: 1439803544 - ISBN-13: 978-1439803547 ...

Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. The WinBUGS code provided offers a convenient platform to model and analyze a wide range of data. The first five chapters of the book contain core material that spans basic Bayesian ideas, calculations, and inference, including modeling one and two sample data from traditional sampling models. The text then covers Monte Carlo methods, such as Markov chain Monte Carlo (MCMC) simulation. After discussing linear structures in regression, it presents binomial regression, normal regression, analysis of variance, and Poisson regression, before extending these methods to handle correlated data. The authors also examine survival analysis and binary diagnostic testing. A complementary chapter on diagnostic testing for continuous outcomes is available on the book’s website. The last chapter on nonparametric inference explores density estimation and flexible regression modeling of mean functions. The appropriate statistical analysis of data involves a collaborative effort between scientists and statisticians. Exemplifying this approach, Bayesian Ideas and Data Analysis focuses on the necessary tools and concepts for modeling and analyzing scientific data.

Daniel Graupe ... 500 pages - Publisher: World Scientific Publishing; 3rd edition (November 19, 2013) ... Language: English - ISBN-10: 9814522732 - ISBN-13: 978-9814522731 ...

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond. This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained. The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks.

Karl Hinderer, Ulrich Rieder, Michael Stieglitz ... 530 pages - Publisher: Springer; 1st edition (January, 2017) ... Language: English - ISBN-10: 3319488139 - ISBN-13: 978-3319488134 ...

Jacek M. Zurada ... 758 pages - Publisher: West Group; 1st Edition (October, 1992) ... Language: English - ISBN-10: 0314933913 - ISBN-13: 978-031493391 ...

Introduction to Artificial Neural Systems by Jacek M. Zurada. Covering algorithms with their advantages, disadvantages and most of all their stability and why they work!

Joseph P. Bigus ... 220 pages - Publisher: Mcgraw-Hill; (May, 1996) ... Language: English - ISBN-10: 0070057796 - ISBN-13: 978-0070057791 ...

Readers will find concrete implementation strategies, reinforced with real-world business examples and a minimum of formulas, and case studies drawn from a broad range of industries. The book illustrates the popular data mining functions of classification, clustering, modeling, and time-series forecasting--through examples developed using the IBM Neural Network Utility.

Paul Attewell, David Monaghan ... 264 pages - Publisher: Univ. of California Press; (May, 2015) ... Language: English - ISBN-10: 0520280989 - ISBN-13: 978-0520280984 ...

We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages.

Biswa Bhattacharya ...270 pages - Publisher: CRC Press; 1st edition (December, 2005) ... Language: English - ISBN-10: 0415391709 - ISBN-13: 978-0415391702 ...

The book presents machine learning as an approach to building models that learn from data, and that can be used to complement the existing modelling practice in aquatic and geotechnical environments. It provides concepts of learning from data, and identifies segmentation (clustering), classification, regression and control as the learning tasks. A unified methodology based on the concepts of machine learning, information theory and statistics is presented that can be followed to build models using data as well as expert knowledge. Several machine learning methods are used to extract features to build data-driven models in geotechnics. A set of regression models are built to predict sediment transport rates and assess harbour sedimentation. Controllers that replicate the control strategy of model-based optimal controllers of water systems are built for situations where fast and accurate decisions are needed. The models built demonstrate excellent performance; they may complement or even replace the existing models and can be used in practice. The performance of the models proves the effectiveness of the methodology and machine learning in general.

George A. Anastassiou, Iuliana F. Iatan ... 582 pages - Publisher: Springer; (July, 2012) ... Language: English - ISBN-10: 3642284744 - ISBN-13: 978-3642284748 ... 

Antony Unwin, Martin Theus, Heike Hofmann ... 271 pages - Publisher: Springer; (July, 2006) ... Language: English - ISBN-10: 0387329064 - ISBN-13: 978-0387329062 ...

This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases, or large in numbers of variables, or large in both. All ideas are illustrated with displays from analyses of real datasets and the importance of interpreting displays effectively is emphasized. Graphics should be drawn to convey information and the book includes many insightful examples. New approaches to graphics are needed to visualize the information in large datasets and most of the innovations described in this book are developments of standard graphics. The book is accessible to readers with some experience of drawing statistical graphics. Graphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace to-day? This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases or large in numbers of variables or large in both. Data visualization is useful for data cleaning, exploring data, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. It is essential for exploratory data analysis and data mining. Data analysts, statisticians, computer scientists-indeed anyone who has to explore a large dataset of their own-should benefit from reading this book. New approaches to graphics are needed to visualize the information in large datasets and most of the innovations described in this book are developments of standard graphics. There are considerable advantages in extending displays which are well-known and well-tried, both in understanding how best to make use of them in your work and in presenting results to others. It should also make the book readily accessible for readers who already have a little experience of drawing statistical graphics. All ideas are illustrated with displays from analyses of real datasets and the authors emphasize the importance of interpreting displays effectively. Graphics should be drawn to convey information and the book includes many insightful examples.

Yang Hong, Yu Zhang, Sadiq Ibrahim Khan ... 413 pages - Publisher: CRC Press; 1st edition (October, 2016) ... Language: English - ISBN-10: 1498726666 - ISBN-13: 978-1498726665 ...

Environmental remote sensing plays a critical role in observing key hydrological components such as precipitation, soil moisture, evapotranspiration and total water storage on a global scale. As water security is one of the most critical issues in the world, satellite remote sensing techniques are of particular importance for emerging regions which have inadequate in-situ gauge observations. This book reviews multiple remote sensing observations, the application of remote sensing in hydrological modeling, data assimilation and hydrological capacity building in emerging regions.

Craig A Mertler, Rachel Vannatta Reinhart ... 390 pages - Publisher: Routledge; 6th edition (October, 2016) ... Language: English - ISBN-10: 1138289736 - ISBN-13: 978-1138289734 ...

Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math. This highly applied approach covers the why, what, when and how of advanced and multivariate statistics in a way that is neither too technical nor too mathematical. Students also learn how to compute each technique using SPSS software. New to the Sixth Edition: Instructor ancillaries are now available with the sixth edition. - All SPSS directions and screenshots have been updated to Version 23 of the software. - Student learning objectives have been added as a means for students to target their learning and for instructors to focus their instruction. - Key words are reviewed and reinforced in the end of chapter material to ensure that students understand the vocabulary of advanced and multivariate statistics.

Michael Sullivan III ... 960 pages - Publisher: Pearson; 5th edition (January, 2016) ... Language: English - ISBN-10: 0134133536 - ISBN-13: 978-0134133539 ...

Kalimuthu Krishnamoorthy ... 424 pages - Publisher: Chapman and Hall/CRC; 2nd edition (October, 2015) ... Language: English - ISBN-10: 1498741495 - ISBN-13: 978-1498741491 ...

Handbook of Statistical Distributions with Applications, Second Edition provides quick access to common and specialized probability distributions for modeling practical problems and performing statistical calculations. Along with many new examples and results, this edition includes both the author’s StatCalc software and R codes to accurately and easily carry out computations. New to the Second Edition: Major changes in binomial, Poisson, normal, gamma, Weibull, exponential, logistic, Laplace, and Pareto distributions * Updated statistical tests and intervals based on recent publications in statistical journals * Enhanced PC calculator StatCalc with electronic help manuals * R functions for cases where StatCalc is not applicable, with the codes available online. This highly praised handbook integrates popular probability distribution models, formulas, applications, and software to help you compute a variety of statistical intervals. It covers probability and percentiles, algorithms for random number generation, hypothesis tests, confidence intervals, tolerance intervals, prediction intervals, sample size determination, and much more.

Robert Carver, Jane Gradwohl Nash ... 352 pages - Publisher: Duxbury Press; 5th edition (2011) ... Language: English - ISBN-10: 0840049161 - ISBN-13: 978-0840049162 ...

Now updated for SPSS Statistics Version 18, Doing Data Analysis with SPSS is an excellent supplement to any introductory statistics course. It provides a practical and useful introduction to SPSS and enables students to work independently to learn helpful software skills outside of class. By using SPSS to handle complex computations, students can focus on and gain an understanding of the underlying statistical concepts and techniques in the introductory statistics course.