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.
Be a Sales Superstar. 21 Great Ways to Sell More, Faster, Easier in Tough Markets
Автор: Брайан Трейси
Год издания:
Brian Tracy shares the most important principles for sales success he has discovered in 30 years of training more than a half million sales professionals in 23 countries. Based on Tracy’s detailed discussions with top salespeople and his keen observation of their methods, as well as his own experiences as a record-breaking salesman, these guidelines address both the inner game of selling—the mental component—and the outer game of selling—the methods and techniques of actually making the sale. Concise and action-oriented, Be a Sales Superstar is a handbook for busy sales professionals, providing key ideas and techniques that will immediately increase your effectiveness and boost your results. Brian Tracy shows you how to: • Get more and better appointments, easier; • Build high rapport in the first few minutes; • Make better, more effective sales presentations • Close more sales faster than ever before Apply Tracy’s 21 great ways to be a superstar salesperson, and your success in selling will become unlimited.
Bayesian Risk Management. A Guide to Model Risk and Sequential Learning in Financial Markets
Автор: Matt Sekerke
Год издания:
A risk measurement and management framework that takes model risk seriously Most financial risk models assume the future will look like the past, but effective risk management depends on identifying fundamental changes in the marketplace as they occur. Bayesian Risk Management details a more flexible approach to risk management, and provides tools to measure financial risk in a dynamic market environment. This book opens discussion about uncertainty in model parameters, model specifications, and model-driven forecasts in a way that standard statistical risk measurement does not. And unlike current machine learning-based methods, the framework presented here allows you to measure risk in a fully-Bayesian setting without losing the structure afforded by parametric risk and asset-pricing models. Recognize the assumptions embodied in classical statistics Quantify model risk along multiple dimensions without backtesting Model time series without assuming stationarity Estimate state-space time series models online with simulation methods Uncover uncertainty in workhorse risk and asset-pricing models Embed Bayesian thinking about risk within a complex organization Ignoring uncertainty in risk modeling creates an illusion of mastery and fosters erroneous decision-making. Firms who ignore the many dimensions of model risk measure too little risk, and end up taking on too much. Bayesian Risk Management provides a roadmap to better risk management through more circumspect measurement, with comprehensive treatment of model uncertainty.