The.Hottest

A. S. Beletich, P. J. Uno ... 344 pages - Publisher: NewSouth Publishing; 2nd edition (April, 2003)  ... Language: English - ISBN-10: 086840621X - ISBN-13: 978-0868406213 ...

This book is the essential and easy-to-use guide for all students and practicing engineers who need to understand and design concrete structures. This second edition of the book is updated to include the revised Concrete Structures and Loading Codes. It develops: simple theory to help the student understand fundamental principles ; design formulas from first principles ; and design charts for all aspects of reinforced concrete design. It incorporates: many design samples to help the user understand the design processes ; the current 2001 AS3600 Concrete Structures Code requirements for deflection and crack control in beams and slabs ; high strength concrete column design charts with concrete strengths of 65, 80, 100 and 120MPa used in modern design and expected to be included in the next main revision of the code.

Andrew Gelman, Jennifer Hill ... 648 pages - Publisher: Cambridge Univ. Press; (December, 2006) ... Language: English - ISBN-10: 052168689X - ISBN-13: 978-0521686891 ...

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout.

Rex B. Kline ... 534 pages - Publisher: The Guilford Press; 4th edition (November, 2015) ... Language: English - ISBN-10: 146252334X - ISBN-13: 978-1462523344 ...

Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent developments such as Pearl's graphing theory and the structural causal model (SCM), measurement invariance, and more. Readers gain a comprehensive understanding of all phases of SEM, from data collection and screening to the interpretation and reporting of the results. Learning is enhanced by exercises with answers, rules to remember, and topic boxes. The companion website supplies data, syntax, and output for the book's examples--now including files for Amos, EQS, LISREL, Mplus, Stata, and R (lavaan). New to This Edition: Extensively revised to cover important new topics: Pearl's graphing theory and the SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. + Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping. + Expanded coverage of psychometrics. + Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan). + Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models.

Johan A. K. Suykens, Marco Signoretto ... 525 pages - Publisher: Chapman and Hall/CRC; (October, 2014) ... Language: English - ISBN-10: 1482241390 - ISBN-13: 978-1482241396 ...

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines. Consisting of 21 chapters authored by leading researchers in machine learning, this comprehensive reference: Covers the relationship between support vector machines (SVMs) and the Lasso * Discusses multi-layer SVMs * Explores nonparametric feature selection, basis pursuit methods, and robust compressive sensing * Describes graph-based regularization methods for single- and multi-task learning * Considers regularized methods for dictionary learning and portfolio selection * Addresses non-negative matrix factorization * Examines low-rank matrix and tensor-based models * Presents advanced kernel methods for batch and online machine learning, system identification, domain adaptation, and image processing * Tackles large-scale algorithms including conditional gradient methods, (non-convex) proximal techniques, and stochastic gradient descent. Regularization, Optimization, Kernels, and Support Vector Machines is ideal for researchers in machine learning, pattern recognition, data mining, signal processing, statistical learning, and related areas.

Boominathan Adimoolam, Subhadeep Banerjee ... 274 pages - Publisher: Springer; (June, 2018) ... Language: English - ASIN: B07DMTL38L by Amazon

This book gathers selected proceedings of the annual conference of the Indian Geotechnical Society, and covers various aspects of soil dynamics and earthquake geotechnical engineering. The book includes a wide range of studies on seismic response of dams, foundation-soil systems, natural and man-made slopes, reinforced-earth walls, base isolation systems and so on, especially focusing on the soil dynamics and case studies from the Indian subcontinent. The book also includes chapters addressing related issues such as landslide risk assessments, liquefaction mitigation, dynamic analysis of mechanized tunneling, and advanced seismic soil-structure-interaction analysis. Given its breadth of coverage, the book offers a useful guide for researchers and practicing civil engineers alike.

Jian Qing Shi, Taeryon Choi ... 216 pages - Publisher: CRC; (July, 2011) .. Language: English - ISBN-10: 1439837732 - ISBN-13: 978-1439837733 ...

Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis, specifically the methods based on a Gaussian process prior in a functional space. The authors focus on problems involving functional response variables and mixed covariates of functional and scalar variables. Covering the basics of Gaussian process regression, the first several chapters discuss functional data analysis, theoretical aspects based on the asymptotic properties of Gaussian process regression models, and new methodological developments for high dimensional data and variable selection. The remainder of the text explores advanced topics of functional regression analysis, including novel nonparametric statistical methods for curve prediction, curve clustering, functional ANOVA, and functional regression analysis of batch data, repeated curves, and non-Gaussian data. Many flexible models based on Gaussian processes provide efficient ways of model learning, interpreting model structure, and carrying out inference, particularly when dealing with large dimensional functional data. This book shows how to use these Gaussian process regression models in the analysis of functional data. Some MATLAB® and C codes are available on the first author’s website.

Geoff Der, Brian S. Everitt ... 246 pages - Publisher: SAS Institute; (December, 2015) ... Language: English - ISBN-10: 1629598437 - ISBN-13: 978-1629598437

Students and instructors of statistics courses using SAS University Edition will welcome this book. Learning fundamental statistics is essential to solving problems with SAS. Essential Statistics Using SAS University Edition demonstrates how to use SAS University Edition to apply a variety of statistical methodologies, from the simple to the not-so-simple, to a range of data sets. Learn how to apply the appropriate statistical method to answer a particular question about a data set, and correctly interpret the numerical results that you obtain. SAS University Edition users who are new to SAS or who need a refresher course will benefit from the statistics overview and topics, such as multiple linear regression, logistic regression, and Poisson regression.

Sabine Landau, Brian S. Everitt ... 366 pages - Publisher: Chapman and Hall/CRC; 1st edition (November, 2003) ... Language: English - ISBN-10: 1584883693 - ISBN-13: 978-1584883692 ...

A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of univariate and multivariate statistical analyses using the latest version of the Statistical Package for the Social Sciences, SPSS 11. Each chapter addresses a different type of analytical procedure applied to one or more data sets, primarily from the social and behavioral sciences areas. Each chapter also contains exercises relating to the data sets introduced, providing readers with a means to develop both their SPSS and statistical skills. Model answers to the exercises are also provided. Readers can download all of the data sets from a companion Web site furnished by the authors.

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If you need to know Excel, you’re in the right place: This course [Size: 2.34GB] walks you through Excel from the very basics of opening Excel all the way to advanced Excel skills used by the pros, like pivot tables and macros. My goal with this course is to give you the skills you need to get that raise, promotion, or new job you deserve. This course was created using Excel 2016, but it is good for versions 2013 and 2010 as well. It was created for use with a PC (personal computer). Mac (Macintosh) users can still benefit from this course, but the course doesn’t cover Mac-specific keyboard shortcuts and interface. We’ll start at the very beginning, with opening and saving a worksheet in Excel: I’ll show you what all the tools do and walk you through each Excel skill that you need to know. I’ll show you how to enter and format your data and how to create charts, tables and pivot tables so you can organize and analyze your data. I’ll teach you amazing keyboard shortcuts to make your work faster and more productive. You’ll learn how to record macros so you can do a whole series of actions with the just click of a button. We’ll keep going until you’re a pro at Excel. When you finish this course, you’ll know more than most people who use Excel at their job every day.

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