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John Wolberg ... 250 pages - Publisher: Springer Berlin Heidelberg; (February, 2006) ... Language: English - ASIN: B000VHULZG by Amazon.

The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full power of the method is overlooked and very few books deal with this subject at the level that it deserves. The purpose of Data Analysis Using the Method of Least Squares is to fill this gap and include the type of information required to help scientists and engineers apply the method to problems in their special fields of interest. In addition, graduate students in science and engineering doing work of experimental nature can benefit from this book. Particularly, both linear and non-linear least squares, the use of experimental error estimates for data weighting, procedures to include prior estimates, methodology for selecting and testing models, prediction analysis, and some non-parametric methods are discussed.

William Menke, Joshua Menke ... 342 pages - Publisher: Academic Press; 2nd edition (March, 2016) ... Language: English - ISBN-10: 0128044888 - ISBN-13: 978-0128044889.

Environmental Data Analysis with MatLab is a new edition that expands fundamentally on the original with an expanded tutorial approach, new crib sheets, and problem sets providing a clear learning path for students and researchers working to analyze real data sets in the environmental sciences. Since publication of the bestselling Environmental Data Analysis with MATLAB®, many advances have been made in environmental data analysis. One only has to consider the global warming debate to realize how critically important it is to be able to derive clear conclusions from often noisy data drawn from a broad range of sources. The work teaches the basics of the underlying theory of data analysis and then reinforces that knowledge with carefully chosen, realistic scenarios.

M. D. Kotsovos, M. N. Pavlovic ... 512 pages - Publisher: Thomas Telford Publishing (January, 1995) ... Language: English - ISBN-10: 0727720279 - ISBN-13: 978-0727720276.

A review of available experimental data on the behaviour of concrete at both the material and structural levels reveals the unavoidable development of triaxial stress conditions prior to failure which dictate the collapse and ductility of structural concrete members; moreover - and in contrast with widely-accepted tenets - it can be shown that the post peak-stress behaviour of concrete as a material is realistically described by a complete and immediate loss of load-carrying capacity.

Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros ... 218 pages - Publisher: Springer; (April, 2018) ... Language: English - ASIN: B07C3LK4K3 by Amazon.

This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.

Andreas Müller, Sarah Guido ... 400 pages - Publisher: O'Reilly Media; (October, 2016) ... Language: English - ISBN-10: 1449369413 - ISBN-13: 978-1449369415.

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.

With this book, you’ll learn: Fundamental concepts and applications of machine learning + Advantages and shortcomings of widely used machine learning algorithms + How to represent data processed by machine learning, including which data aspects to focus on + Advanced methods for model evaluation and parameter tuning + The concept of pipelines for chaining models and encapsulating your workflow + Methods for working with text data, including text-specific processing techniques + Suggestions for improving your machine learning and data science skills.

Krzysztof Blazejowski ... 344 pages - Publisher: CRC Press; (November, 2010) ... Language: English - ISBN-10: 1439819718 - ISBN-13: 978-1439819715

In the years since the development and subsequent success of Stone Matrix Asphalt (SMA), a plethora of articles have emerged, scattered throughout various publications. The time is right for a comprehensive resource that collects, examines, and organizes this information and makes it easily accessible. A compilation and distillation of the latest knowledge available, Stone Matrix Asphalt: Theory and Practice describes SMA, from its origin through implementation, and explores various methods and design approaches. Detailing the requirements and materials for the mix, including asphalt binder, aggregates, and stabilizers, the book covers standard and alternative design methods and their execution, as well as best practices and production processes. It addresses issues such as permanent deformation and fatigue resistance, as well as special applications, such as bridge deck surfacing and airfields. The book uses practical examples to illustrate theory, presents practical tips useful in everyday work, and includes a review of problems that can occur during laydown, and their potential solutions.

Gianluca Ranzi, Raymond Ian Gilbert ... 576 pages - Publisher: CRC Press; (August, 2014) ... Language: English - ISBN-10: 0415526442 - ISBN-13: 978-0415526449

Structural Analysis: Principles, Methods and Modelling outlines the fundamentals involved in analyzing engineering structures, and effectively presents the derivations used for analytical and numerical formulations. This text explains practical and relevant concepts, and lays down the foundation for a solid mathematical background that incorporates MATLAB (no prior knowledge of MATLAB is necessary), and includes numerous worked examples. Effectively Analyze Engineering Structures Divided into four parts, the text focuses on the analysis of statically determinate structures. It evaluates basic concepts and procedures, examines the classical methods for the analysis of statically indeterminate structures, and explores the stiffness method of analysis that reinforces most computer applications and commercially available structural analysis software. In addition, it covers advanced topics that include the finite element method, structural stability, and problems involving material nonlinearity.

MoonJung Cho, Wendy L. Martinez ... 286 pages - Publisher: Chapman and Hall/CRC; (December, 2014) ... Language: English - ISBN-10: 1466596562 - ISBN-13: 978-1466596566

Fulfilling the need for a practical user’s guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version of MATLAB and its extensive functionality for statistics. Assuming a basic knowledge of statistics and probability as well as a fundamental understanding of linear algebra concepts, this book: Covers capabilities in the main MATLAB package, the Statistics Toolbox, and the student version of MATLAB * Presents examples of how MATLAB can be used to analyze data * Offers access to a companion website with data sets and additional examples * Contains figures and visual aids to assist in application of the software *Explains how to determine what method should be used for analysis. Statistics in MATLAB: A Primer is an ideal reference for undergraduate and graduate students in engineering, mathematics, statistics, economics, biostatistics, and computer science. It is also appropriate for a diverse professional market, making it a valuable addition to the libraries of researchers in statistics, computer science, data mining, machine learning, image analysis, signal processing, and engineering.

Russell C. Hibbeler ... 720 pages - Publisher: Pearson; 9th edition (July, 2014) ... Language: English - ISBN-10: 0133942848 - ISBN-13: 978-0133942842.

Structural Analysis is intended for use in Structural Analysis courses. It is also suitable for individuals planning a career as a structural engineer. Structural Analysis provides readers with a clear and thorough presentation of the theory and application of structural analysis as it applies to trusses, beams, and frames. Emphasis is placed on teaching students to both model and analyze a structure. Hibbeler's problem solving methodology, Procedures for Analysis, provides readers with a logical, orderly method to follow when applying theory.

Teaching and Learning Experience: To provide a better teaching and learning experience, for both instructors and students, this text provides: Current Material: To keep your course current and relevant, the Ninth Edition includes new discussions and a new chapter. Problem Solving: A variety of problem types, at varying levels of difficulty, stress practical situations encountered in professional practice. Visualization: The photorealistic art program is designed to help students visualize difficult concepts. Review and Student Support: A thorough end of chapter review provides students with a concise tool for reviewing chapter contents. Triple Accuracy Checking: The accuracy of the text and problem solutions has been thoroughly checked by three other parties.

A. K. Konstantinidis ... 293 pages - Publisher: PI-SYSTEMS; 4th edition (2014) ... Language: English - ISBN-10: 9608550637 - ISBN-13: 978-9608550636.

The book thoroughly discusses the subject of construction and detailing of earthquake resistant buildings from reinforced concrete, according to EUROCODES. More than 150 illustrations and constructional drawings are used to visualize the practices and examples explained.

Yehuda Klausner ... 607 pages - Publisher: Springer; (November, 2011) ... Language: English - ISBN-10: 1447116798 - ISBN-13: 978-1447116790

Fundamentals of Continuum Mechanics of Soils provides a long-needed general scheme for the study of the important yet problematic material of soil. It closes the gap between two disciplines, soil mechanics and con- tinuum mechanics, showing that the familiar concepts of soil mechanics evolve directly from continuum mechanics. It confirms concepts such as pore pressures, cohesion and dependence of the shear stress on consolidation, and rejects the view that continuum mechanics cannot be applied to a material such as soil. The general concepts of continuum mechanics, field equations and constitutive equations are discussed. It is shown how the theory of mixtures evolves from these equations and how, along with energetics and irrevers- ible thermodynamics, it can be applied to soils. The discussion also sheds light on some aspects of mechanics of materials, especially compressible materials. Examples are the introduction of the Hencky measure of strain, the requirement of dual constitutive equations, and the dependence of the spent internal energy on the stored internal energy. Researchers in engineering mechanics and material sciences may find that the results of experiments on soils can be generalized and extended to other materials. The book is a reference text for students familiar with the fundamentals of mechanics, for scholars of soil engineering, and for soil scientists. It is also suitable as an advanced undergraduate course in soil mechanics.

Joel R. Hass, Maurice D. Weir ... 1056 pages - Publisher: Pearson; 3rd edition (January, 2015) ... Language: English - ISBN-10: 0321999584 - ISBN-13: 978-0321999580

University Calculus, Early Transcendentals, Third Edition helps students generalize and apply the key ideas of calculus through clear and precise explanations, thoughtfully chosen examples, meticulously crafted figures, and superior exercise sets. This text offers the right mix of basic, conceptual, and challenging exercises, along with meaningful applications. This revision features more examples, more mid-level exercises, more figures, improved conceptual flow, and the best in technology for learning and teaching.

Wendy L. Martinez, Angel R. Martinez, Jeffrey L. Solka ... 616 pages - Publisher: Chapman and Hall/CRC; 3rd edition (August, 2017) ... Language: English - ASIN: B074MVTKM9 by Amazon

Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website.

New to the Third Edition: Random projections and estimating local intrinsic dimensionality. + Deep learning autoencoders and stochastic neighbor embedding. + Minimum spanning tree and additional cluster validity indices. + Kernel density estimation. + Plots for visualizing data distributions, such as beanplots and violin plots. + A chapter on visualizing categorical data.

Wendy L. Martinez, Angel Martinez, Jeffrey Solka ... 536 pages - Publisher: CRC Press; 2nd edition (December, 2010) ... Language: English - ISBN-10: 1439812209 - ISBN-13: 978-1439812204

Since the publication of the bestselling first edition, many advances have been made in exploratory data analysis (EDA). Covering innovative approaches for dimensionality reduction, clustering, and visualization, Exploratory Data Analysis with MATLAB, Second Edition uses numerous examples and applications to show how the methods are used in practice. New to the Second Edition: Discussions of nonnegative matrix factorization, linear discriminant analysis, curvilinear component analysis, independent component analysis, and smoothing splines - An expanded set of methods for estimating the intrinsic dimensionality of a data set - Several clustering methods, including probabilistic latent semantic analysis and spectral-based clustering - Additional visualization methods, such as a rangefinder boxplot, scatterplots with marginal histograms, biplots, and a new method called Andrews’ images -Instructions on a free MATLAB GUI toolbox for EDA... Like its predecessor, this edition continues to focus on using EDA methods, rather than theoretical aspects. The MATLAB codes for the examples, EDA toolboxes, data sets, and color versions of all figures are available for download at http://pi-sigma.info.

Amin Ghali, Adam Neville ... 962 pages - Publisher: CRC Press; 7th edition (September, 2017) ... Language: English - ISBN-10: 1498725066 - ISBN-13: 978-1498725064

This comprehensive textbook combines classical and matrix-based methods of structural analysis and develops them concurrently. It is widely used by civil and structural engineering lecturers and students because of its clear and thorough style and content. The text is used for undergraduate and graduate courses and serves as reference in structural engineering practice. With its six translations, the book is used internationally, independent of codes of practice and regardless of the adopted system of units. Now in its seventh edition: the introductory background material has been reworked and enhanced * throughout, and particularly in early chapters, explanatory notes, new examples and problems are inserted for more clarity., along with 160 examples and 430 problems with solutions. * dynamic analysis of structures, and applications to vibration and earthquake problems, are presented in new sections and in two new chapters * the companion website provides an enlarged set of 16 computer programs to assist in teaching and learning linear and nonlinear structural analysis. The source code, an executable file, input example(s) and a brief manual are provided for each program.

Mark H. Holmes ... 497 pages - Publisher: Springer; (May, 2016) ... Language: English - ISBN-10: 331930254X - ISBN-13: 978-3319302546

This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The MATLAB codes used to produce most of the figures and data tables in the text are available on the author’s website and SpringerLink.

Christian Ritz, Signe Marie Jensen, Daniel Gerhard, Jens Carl Streibig ... 226 pages - Publisher: Chapman and Hall/CRC; (July, 2019) ... Language: English - ISBN-10: 1138034312 - ISBN-13: 978-1138034310

Nowadays the term dose-response is used in many different contexts and many different scientific disciplines including agriculture, biochemistry, chemistry, environmental sciences, genetics, pharmacology, plant sciences, toxicology, and zoology. In the 1940 and 1950s, dose-response analysis was intimately linked to evaluation of toxicity in terms of binary responses, such as immobility and mortality, with a limited number of doses of a toxic compound being compared to a control group (dose 0). Later, dose-response analysis has been extended to other types of data and to more complex experimental designs. Moreover, estimation of model parameters has undergone a dramatic change, from struggling with cumbersome manual operations and transformations with pen and paper to rapid calculations on any laptop. Advances in statistical software have fueled this development.

Key Features: Provides a practical and comprehensive overview of dose-response analysis. + Includes numerous real data examples to illustrate the methodology. + R code is integrated into the text to give guidance on applying the methods. + Written with minimal mathematics to be suitable for practitioners. + Includes code and datasets on the book’s GitHub: https://github.com/DoseResponse. This book focuses on estimation and interpretation of entirely parametric nonlinear dose-response models using the powerful statistical environment R. Specifically, this book introduces dose-response analysis of continuous, binomial, count, multinomial, and event-time dose-response data. The statistical models used are partly special cases, partly extensions of nonlinear regression models, generalized linear and nonlinear regression models, and nonlinear mixed-effects models (for hierarchical dose-response data). Both simple and complex dose-response experiments will be analyzed.

Robert J. F. Goodfellow ... 176 pages - Publisher: Society for Mining, Metallurgy, and Exploration (June, 2011) ... Language: English - ISBN-10: 0873353463 - ISBN-13: 978-0873353465

Concrete is a vital component of almost every underground construction project. Because it significantly impacts both the durability and cost of a project, owners, designers, and contractors are constantly challenged with designing and placing the concrete to meet their quality standards in the most cost-effective way. Concrete for Underground Structures: Guidelines for Design and Construction can make that task a lot easier. Instead of searching pages of scattered reference materials when writing specifications, this book is a one-source guide to help you quickly find the answers you need. The first resource of its kind, this practical nuts-and-bolts handbook provides an industry voice as well as recommendations for areas of concrete application. You’ll get valuable insights into current best practices for all aspects of the design and construction of underground structural concrete. Internationally respected authors examine three key applications: cast-in-place concrete, precast concrete segmental linings, and shotcrete. Each chapter addresses the differences between aboveground and underground use. The various types of concrete admixtures are also discussed, and sample specifications for each are included. Concrete for Underground Structures is an indispensable resource for industry veterans as well as an educational tool for those who are new to the profession.

Samprit Chatterjee, Jeffrey S. Simonoff ... 252 pages - Publisher: Wiley; (December, 2012) ... Language: English - ISBN-10: 0470887168 - ISBN-13: 978-0470887165

Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis. The focus is on the tools that both practitioners and researchers use in real life. It is intended to be a comprehensive collection of the theory, methods, and applications of regression methods, but it has been deliberately written at an accessible level. The handbook provides a quick and convenient reference or “refresher” on ideas and methods that are useful for the effective analysis of data and its resulting interpretations. Students can use the book as an introduction to and/or summary of key concepts in regression and related course work (including linear, binary logistic, multinomial logistic, count, and nonlinear regression models). Theory underlying the methodology is presented when it advances conceptual understanding and is always supplemented by hands-on examples.

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