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Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientists Aimed at undergraduate/graduate-level engineering and natural science students, this timely, fully updated edition of a popular book on statistics and probability shows how real-world problems can be solved using statistical concepts. It removes Excel exhibits and replaces them with R software throughout, and updates both MINITAB and JMP software instructions and content. A new chapter discussing data mining—including big data, classification, machine learning, and visualization—is featured. Another new chapter covers cluster analysis methodologies in hierarchical, nonhierarchical, and model based clustering. The book also offers a chapter on Response Surfaces that previously appeared on the book’s companion website. Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP, Second Edition is broken into two parts. Part I covers topics such as: describing data graphically and numerically, elements of probability, discrete and continuous random variables and their probability distributions, distribution functions of random variables, sampling distributions, estimation of population parameters and hypothesis testing. Part II covers: elements of reliability theory, data mining, cluster analysis, analysis of categorical data, nonparametric tests, simple and multiple linear regression analysis, analysis of variance, factorial designs, response surfaces, and statistical quality control (SQC) including phase I and phase II control charts. The appendices contain statistical tables and charts and answers to selected problems. Features two new chapters—one on Data Mining and another on Cluster Analysis Now contains R exhibits including code, graphical display, and some results MINITAB and JMP have been updated to their latest versions Emphasizes the p-value approach and includes related practical interpretations Offers a more applied statistical focus, and features modified examples to better exhibit statistical concepts Supplemented with an Instructor's-only solutions manual on a book’s companion website Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP is an excellent text for graduate level data science students, and engineers and scientists. It is also an ideal introduction to applied statistics and probability for undergraduate students in engineering and the natural sciences. Получить ссылку |
Secure PHP Development: Building 50 Practical Applications
Автор: Mohammed J. Kabir
Год издания:
The personal home page (PHP) server-side scripting language is particular well adapted to connecting HTML-based web pages to a backend database for dynamic content. This book explains the entire nuts-and-bolts process of the PHP application life cycle: requirements, design, development, maintenance and tuning. It shows how PHP can be used to design and develop highly manageable and secure applications to solve practical problems.
Oracle Database 10g XML & SQL: Design, Build, & Manage XML Applications in Java, C, C++, & PL/SQL
Автор: Mark Scardina
Год издания:
Written by members of the Oracle XML group, this is a must-have reference for all IT managers, DBAs, and developers who want to learn the best practices for using XML with Oracle’s XML-enabled products. Includes real-world case studies based on theauthors’ experience managing Oracle’s XML Discussion Forum - a community of 20,000+ XML component users.
Principles and Applications of Electrical Engineering
Автор: Giorgio Rizzoni
Год издания:
Rizzoni is designed for the sophomore/junior level, Introduction to Electrical Engineering course required for non-EE majors. The most widely used book for this course, Rizzoni introduces non-majors to the three basic areas of electrical engineering: circuits, electronics, and electromechanics. The second edition continues the tradition of focusing on the topics and issues of interest to the non-electrical engineering student. To maintain student interest in these topics, Rizzoni provides numerous links between electrical engineering and other engineering fields.
Applied Statistics and the SAS Programming Language
Автор: Ronald P. Cody, Jeffrey K. Smith
Год издания:
This book is intended to provide the applied researcher with the capacity to perform statistical analyses with SAS software without wading through pages of technical documentation. The researcher is provided with the necessary SAS statements to run programs for most of the commonly used statistics, explanations of the computer output, interpretations of results, and examples of how to construct tables and write up results for reports and journal articles.
Photoshop CS2 Raw: Using Adobe Camera Raw, Bridge, and Photoshop to Get the Most Out of Your Digital Camera
Автор: Aaland Mikkel
Год издания:
The RAW file format is the uncompressed data file captured by a digital camera's electronic sensor. When your camera saves an image in RAW format, settings like white balance, sharpening, contrast and saturation are not applied to the image but are saved instead in a separate header. Because RAW files remain virtually untouched by in-camera processing, they are essentially the digital equivalent to exposed but undeveloped film.
This makes RAW an increasingly popular format with amateur and professional digital photographers, because it affords greater flexibility and control during the editing process-if you know how to work with RAW files.
Most digital camera manufacturers supply their own software for converting RAW data, as do some third party vendors. Increasingly, however, the RAW converter of choice is a plug-in included in the latest version of Adobe Photoshop, the most popular and widely-used digital image editing tool in the world. Adobe Photoshop CS2 is emerging as the best place to edit RAW images, and the best way to master this new format is with Photoshop CS2 RAW.
An important book dedicated to working with RAW in Photoshop, this comprehensive guide features a unique design that helps readers grasp the subject through visual instruction and prompts. The entire RAW process is explored, from shooting to using the Adobe plug-in converter and new Bridge navigation software. The primary focus of Photoshop RAW is, as the title suggests, Photoshop editing technique: automating RAW workflow, correcting exposures, extending exposure range, manipulating grayscale and working with the new DNG (Digital Negative) open standard that Adobe supports.
Presented by photographer Mikkel Aaland, a pioneer of digital photography and author of eight books, including O"Reilly"s Photoshop for the Web and the award-winning Shooting Digital, Photoshop CS2 RAW investigates and instructs in an accessible visual style. Required reading for professionals and dedicated photo hobbyists alike.
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