the Academic NEST

Lisa Daniels, Nicholas W. Minot ... 392 pages - ISBN-10: 1506371833 - ISBN-13: 978-1506371832 ... Publisher : SAGE Publications; (January, 2019) - Language: English.

An Introduction to Statistics and Data Analysis Using Stata by Lisa Daniels and Nicholas Minot provides a step-by-step introduction for statistics, data analysis, or research methods classes with Stata. Concise descriptions emphasize the concepts behind statistics for students rather than the derivations of the formulas. With real-world examples from a variety of disciplines and extensive detail on the commands in Stata, this text provides an integrated approach to research design, statistical analysis, and report writing for social science students.

Francis D. K. Ching ... 256 pages - Publisher: Wiley; 6th Edition (April, 2015) ... Language: English - AmazonSIN: B00WJZ2PPC.

The bestselling guide to architectural drawing, with new information, examples, and resources: Architectural Graphics is the classic bestselling reference by one of the leading global authorities on architectural design drawing, Francis D.K. Ching. Now in its sixth edition, this essential guide offers a comprehensive introduction to using graphic tools and drafting conventions to translate architectural ideas into effective visual presentations, using hundreds of the author's distinctive drawings to illustrate the topic effectively. This updated edition includes new information on orthographic projection in relation to 3D models, and revised explanations of line weights, scale and dimensioning, and perspective drawing to clarify some of the most difficult concepts. New examples of modern furniture, APA facilities, and presentation layout provide more up-to-date visuals, and the Reference Center features all new animations, videos, and practice exercises.

Architectural graphics are key tools for conveying design through representation on paper or on screen, and this book is the ultimate guide to mastering the skill, then applying your talent to create more effective design communication. + Understand multiview, paraline, and perspective drawing + Master interior sections using a variety of techniques + Render tonal value, enhance depth, and convey illumination + Develop professional-quality layouts for presentations. Architectural graphics both inform the design process and serve as the means by which a design is interpreted and built. Complete mastery of the tools and conventions is essential to the successful outcome of any project, and mistakes can cause confusion, time delays, increased costs, and possible catastrophe. Architectural Graphics is the comprehensive guide to professional architectural drawing, with insight from a leading authority in the field.

Bernd S. Palm ... 436 pages - ISBN-10: 0367417391 - ISBN-13: 978-0367417390 ... Publisher: Routledge; (February, 2020) - Language: : English.

Master the complexities of the world's bestselling 2D and 3D software with Introduction to AutoCAD 2020. Ideally suited to new users, and relevant for both AutoCAD 2020 and AutoCAD 2021, this book will be a useful resource for drawing modules in both vocational and introductory undergraduate courses in engineering and construction. Experienced users will also find the updated images, commands and software information to be essential reading in order to adapt to the latest AutoCAD interface. A comprehensive, step-by-step introduction to the latest release of AutoCAD. Covering all the basic principles and acting as an introduction to 2D drawing, it also contains extensive coverage of all 3D topics, including 3D solid modelling and rendering.

Written by a member of the Autodesk Developer Network. + Hundreds of colour pictures, screenshots and diagrams illustrate every stage of the design process. + Worked examples and exercises provide plenty of practice material to build proficiency with the software. Further education students will find this an invaluable textbook for City & Guilds AutoCAD qualifications as well as the relevant Computer Aided Drawing units of BTEC National Engineering, Higher National Engineering and Construction courses from Edexcel. Students enrolled in Foundation Degree courses containing CAD modules will also find this a very useful reference and learning aid.

Paul Richard ... 960 pages - Publisher: Macromedia Press; (July, 2019) ... AmazonSIN: B07VXRBF7W - Language: English.

Introduction to AutoCAD 2020 addresses advances in technology and introduces students to 2-dimensional drawing skills and commands using the 2020 release of AutoCAD. Straightforward explanations focus on actual drawing procedures, and illustrations show what to expect on the computer screen. It continuously builds on concepts covered in previous chapters, contains exercises combined with in-text notes, and offers examples that provide the “how and why” of AutoCAD fundamentals. Projects are included at the end of each chapter and provide hands-on experience creating various types of mechanical, architectural, civil, and electrical drawings. This text is appropriate for introductory and intermediate AutoCAD courses.

Introduces AutoCAD, drafting skills, editing techniques, working with complex objects, annotating drawings, outputting your work, advanced drawing and construction methods, and collaborating with others on the web. + Pedagogy reinforces learning objectives throughout, with chapter objectives; key term definitions; command grids that concisely offer multiple ways of achieving task at hand; and discipline icons that identify the field of study throughout. + “New” version icons highlight new software features quickly. + Hands-on exercises appear throughout the text to reinforce learning, and end-of-chapter projects require students to demonstrate a full understanding of the concepts presented in the chapter. Introduction to AutoCAD 2020 provides students with the tools they need to develop drafting skills with AutoCAD.

Richard J. Brook, Gregory C. Arnold ... 256 pages - ISBN-10: 0824772520 - ISBN-13: 978-0824772529 ... Publisher : CRC Press; (December, 2018) - Language: English.

For a solid foundation of important statistical methods, the concise, single-source text unites linear regression with analysis of experiments and provides students with the practical understanding needed to apply theory in real data analysis problems.Stressing principles while keeping computational and theoretical details at a manageable level, Applied Regression Analysis and Experimental Design features an emphasis on vector geometry and least squares to unify and provide an intuitive basis for most topics covered… abundant examples and exercises using real-life data sets clearly illustrating practical of data analysis…essential exposure to MINITAB and GENSTAT computer packages , including computer printouts…and important background material such as vector and matrix properties and the distributional properties of quadratic forms.Designed to make theory work for students, this clearly written, easy-to-understand work serves as the ideal texts for courses Regression, Experimental Design, and Linear Models in a broad range of disciplines. Moreover, applied statisticians will find the book a useful reference for the general application of the linear model.

Richard McElreath ... 612 pages - ISBN-10: 036713991X - ISBN-13: 978-0367139919 ... Publisher : Chapman and Hall/CRC; 2nd Edition (March, 2020) - Language: English.

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work. The text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The core material ranges from the basics of regression to advanced multilevel models. It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding.

The second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses. Features: Integrates working code into the main text + Illustrates concepts through worked data analysis examples + Emphasizes understanding assumptions and how assumptions are reflected in code + Offers more detailed explanations of the mathematics in optional sections + Presents examples of using the dagitty R package to analyze causal graphs + Provides the rethinking R package on the author's website and on GitHub