The fast and easy way to score high at exam time Series 7 Exam For Dummies, Premier Edition includes all the help you need to pass your Series 7 exam and to reach your goal of being a stockbroker and selling securities. But the road to stock broker success isn't easy. First, you must first pass the Series 7 exam—a 6-hour, 250-question monstrosity. Unlike many standardized tests, the Series 7 exam is harder than it seems. Luckily, there's Series 7 Exam For Dummies Premier—the perfect guide that not only shows you how to think like a financial advisor but also like the test designers. This Premier Edition of our Series 7 test guide includes 4 full-length practice exams (2 more than our standard edition). Rather than an all-encompassing, comprehensive textbook, this guide covers only what's on the test, offering formulas, tips, and basic info you need to study. It empowers you with the ability to think each problem through and get to the bottom of what's being asked, providing you with everything you need and want to know. Distribution of profits Types of securities offerings Investing in all types of stock Bond types, prices, yields, and risks Handling margin accounts Characteristics of different investment companies Direct Participation Programs and other types of partnerships Option selling, buying, and trading Security analysis and security markets Whether you're preparing to take the test for the first time or the fourth time, Series 7 For Dummies is the book for you! CD-ROM/DVD and other supplementary materials are not included as part of the e-book file, but are available for download after purchase.

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.

Advances in Investment Analysis and Portfolio Management (New Series) is an annual publication designed to disseminate developments in the area of investment analysis and portfolio management. The publication is a forum for statistical and quantitative analyses of issues in security analysis, portfolio management, options, futures, and other related issues. The objective is to promote interaction between academic research in finance, economics, and accounting and applied research in the financial community.