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David Muir Wood ... 488 pages - Publisher: Cambridge Univ. Press; 1st edition (April, 1991) ... Language: English - ISBN-10: 0521337828 - ISBN-13: 978-0521337823 ...

Soils can rarely be described as ideally elastic or perfectly plastic and yet simple elastic and plastic models form the basis for the most traditional geotechnical engineering calculations. With the advent of cheap powerful computers the possibility of performing analyses based on more realistic models has become widely available. One of the aims of this book is to describe the basic ingredients of a family of simple elastic-plastic models of soil behavior and to demonstrate how such models can be used in numerical analyses. Such numerical analyses are often regarded as mysterious black boxes but a proper appreciation of their worth requires an understanding of the numerical models on which they are based. Though the models on which this book concentrates are simple, understanding of these will indicate the ways in which more sophisticated models will perform.

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.

Lulu Zhang, Jinhui Li, Xu Li, Jie Zhang, Hong Zhu ... 398 pages - Publisher: CRC Press; 1st edition (June, 2016) ... Language: English - ASIN: B01HELDDME by Amazon ..

.Rainfall-induced landslides are common around the world. With global climate change, their frequency is increasing and the consequences are becoming greater. Previous studies assess them mostly from the perspective of a single discipline—correlating landslides with rainstorms, geomorphology and hydrology in order to establish a threshold prediction value for rainfall-induced landslides; analyzing the slope’s stability using a geomechanical approach; or assessing the risk from field records. Rainfall Induced Soil Slope Failure: Stability Analysis and Probabilistic Assessment integrates probabilistic approaches with the geotechnical modeling of slope failures under rainfall conditions with unsaturated soil. It covers theoretical models of rainfall infiltration and stability analysis, reliability analysis based on coupled hydro-mechanical modelling, stability of slopes with cracks, gravels and spatial heterogenous soils, and probabilistic model calibration based on measurement. It focuses on the uncertainties involved with rainfall-induced landslides and presents state-of-the art techniques and methods which characterize the uncertainties and quantify the probabilities and risk of rainfall-induced landslide hazards. Additionally, the authors cover: The failure mechanisms of rainfall-induced slope failure - Commonly used infiltration and stability methods - The infiltration and stability of natural soil slopes with cracks and colluvium materials - Stability evaluation methods based on probabilistic approaches -The effect of spatial variability on unsaturated soil slopes and more.

Samprit Chatterjee, Ali S. Hadi ... 424 pages - Publisher: Wiley; 5th edition (September, 2012) ... Language: English - ISBN-10: 0470905840 - ISBN-13: 978-0470905845...

Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however,requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics,transformation, multicollinearity, logistic regression, and robust regression. The book now includes a new chapter on the detection and correction of multicollinearity, while also showcasing the use of the discussed methods on newly added data sets from the fields of engineering, medicine, and business. The Fifth Edition also explores additional topics, including: Surrogate ridge regression * Fitting nonlinear models * Errors in variables * ANOVA for designed experiments. Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions, the required assumptions, and the evaluated success of each technique.Additionally, methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R.

Mohammed M. Alani, Hissam Tawfik, Mohammed Saeed, Obinna Anya ... 214 pages - Publisher: Springer; 1st edition (July, 2018) ... Language: English - ASIN: B07FP1J69L by Amazon ...

This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery.

Aaron R. Bradley ... 238 pages -Publisher: Springer; (October, 2011) ... Language: English - ISBN-10: 3642233023 - ISBN-13: 978-3642233029

To learn to program is to be initiated into an entirely new way of thinking about engineering, mathematics, and the world in general. Computation is integral to all modern engineering disciplines, so the better you are at programming, the better you will be in your chosen field. The author departs radically from the typical presentation by teaching concepts and techniques in a rigorous manner rather than listing how to use libraries and functions. He presents pointers in the very first chapter as part of the development of a computational model that facilitates an ab initio presentation of subjects such as function calls, call-by-reference, arrays, the stack, and the heap. The model also allows students to practice the essential skill of memory manipulation throughout the entire course rather than just at the end. As a result, this textbook goes further than is typical for a one-semester course -- abstract data types and linked lists, for example, are covered in depth. The computational model will also serve students in their adventures with programming beyond the course: instead of falling back on rules, they can think through the model to decide how a new programming concept fits with what they already know. The book is appropriate for undergraduate students of engineering and computer science, and graduate students of other disciplines. It contains many exercises integrated into the main text, and the author has made the source code available online.

Robert W. Day ... 692 pages- Publisher: McGraw-Hill; 2nd edition (July, 2012) ... Language: English - ISBN-10: 0071792384 - ISBN-13: 978-0071792387 ...

Fully updated for the 2012 International Building Code, Geotechnical Earthquake Engineering Handbook, Second Edition discusses basic earthquake principles, common earthquake effects, and typical structural damage caused by seismic shaking. Earthquake computations for conditions commonly encountered by design engineers, such as liquefaction, settlement, bearing capacity, and slope stability, are included. Site improvement methods that can be used to mitigate the effects of earthquakes on structures are also described in this practical, comprehensive guide. Coverage includes: Basic earthquake principles + Common earthquake effects + Earthquake structural damage + Site investigation for geotechnical earthquake engineering + Liquefaction + Earthquake-induced settlement + Bearing capacity analyses for earthquakes + Slope stability analyses for earthquakes + Retaining wall analyses for earthquakes + Other geotechnical earthquake engineering analyses + Grading and other soil improvement methods + Foundation alternatives to mitigate earthquake effects + Earthquake provisions in building codes.

Rajnikant M. Khatsuria ... 680 pages- Publisher: CRC Press; 1st edition (October, 2004) ... Language: English - ASIN: B00UV99FJW by Amazon ...

An unsurpassed treatise on the state-of-the-science in the research and design of spillways and energy dissipators, Hydraulics of Spillways and Energy Dissipators compiles a vast amount of information and advancements from recent conferences and congresses devoted to the subject. It highlights developments in theory and practice and emphasizing topics related to scale effect, dynamic flow measurement, and the analysis and interpretation of model results. Consolidates and compares the available information on various design approaches, procedures, and structure types to benefit practicing engineers. Reflecting the author's nearly four decades of experience in the field, this handbook: Provides four broad sections on spillway design, flood- estimation and selection, various types of spillways and energy dissipators, and topics of special interest + Offers valuable case studies and illustrative examples to effectively highlight key topics in the text + Includes chapters on crucial design elements such as cavitation, air entrainment, and aerators  + Contains extensive discussions of spillway construction stages, dual purpose spillways, overtopping protection of earth dams used as spillways, unlined spillways, fuse plugs and fuse gate spillways, air entrainment and forced aeration, and protection against detrimental forces such as cavitation, uplift, and scour.

A. Murali Krishna, Arindam Dey, S. Sreedeep ... 467 pages - Publisher: Springer; (March, 2018) ... Language: English - ASIN: B07B63T9K1 by Amazon ...

This contributed volume encompasses contributions by eminent researchers in the field of geotechnical engineering. The chapters of this book are based on the keynote and sub-theme lectures delivered at the Indian Geotechnical Conference 2017. The book provides a comprehensive overview of the current state-of-the-art research and practices in different domains of geotechnical engineering in the areas of soil dynamics, earth retaining structures, ground improvement, and geotechnical and geophysical investigations. It will serve as an ideal resource for academics, researchers, practicing professionals, and students alike.

Michael Seidel, D. S. Sturge ... 240 pages - Publisher: Ernst&Sohn; 1st edition (August, 2009) ... Language: English - ISBN-10: 3433029229 - ISBN-13: 978-3433029220 ...

Tensile surface structures are the visual expression of an intensive rethinking of the topic of building envelopes by designers. Advances in design methods, materials, construction elements and assembly and erection planning in the field of lightweight construction are enabling ever more exacting applications of tensile structures with envelope and structural functions, especially in roofing over large clear spans without internal support. However, the particular mechanical characteristics of the materials used in the construction of textile structures demand consideration of the question of "buildability". This book provides answers by discussing the fundamental influence of material manufacture and assembly in deciding the most suitable type of building or structure and its detailing in the design process. The fundamentals of material composition, manufacturing process, patterning and the behaviour of flexible structural systems are all explained here, as well as their use as structural and connection elements, and special attention is given to the erection of wide-span lightweight structures. The erection equipment is described, as well as the lifting and tensioning process and the construction methods used to erect the characteristic types of tensile structures, illustrated with a selection of example projects.

Miguel F. Acevedo ... 557 pages - Publisher: CRC Press; 1st edition (December, 2012) ... Language: English - ASIN: B00AR3E3C6 by Amazon ...

Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines. Each chapter starts with conceptual and theoretical material to give a firm foundation in how the methods work. Examples and exercises illustrate the applications and demonstrate how to go from concepts to problem solving. Hands-on computer sessions allow students to grasp the practical implications and learn by doing. Throughout, the computer examples and exercises use seeg and Rcmdr Plugin.seeg, open-source R packages developed by the author, which help students acquire the skills to implement and conduct analysis and to analyze the results. This self-contained book offers a unified presentation of data analysis methods for more effective problem solving. With clear, easy-to-follow explanations, the book helps students to develop a solid understanding of basic statistical analysis and prepares them for learning the more advanced and specialized methods they will need in their work.

Walter Savitch, Kenrick Mock ... 1272 pages - Publisher: Pearson; 5th edition (March, 2012) ... Language: English - ISBN-10: 0132830310 - ISBN-13: 978-0132830317 ...

Praised for providing an engaging balance of thoughtful examples and explanatory discussion, best-selling author Walter Savitch explains concepts and techniques in a straightforward style using understandable language and code enhanced by a suite of pedagogical tools. Absolute Java is appropriate for both introductory and intermediate programming courses introducing Java.

George A. F. Seber, C. J. Wild ... 768 pages - Publisher: Wiley-Interscience; (September, 2003) ... Language: English - ISBN-10: 0471471356 - ISBN-13: 978-0471471356 ...

Nonlinear Regression also includes a reference list of over 700 entries. The compilation of this material and cross-referencing of it is one of the most valuable aspects of the book. Nonlinear Regression can provide the researcher unfamiliar with a particular specialty area of nonlinear regression an introduction to that area of nonlinear regression and access to the appropriate references. Nonlinear Regression provides by far the broadest discussion of nonlinear regression models currently available and will be a valuable addition to the library of anyone interested in understanding and using such models including the statistical researcher.

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