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Bond Investing For Dummies
Your friendly guide to trading the bond and bond fund market Bonds and bond funds are among the safest and most reliable investments you can make to ensure an ample and dependable retirement income—if you do it right! Bond Investing For Dummies helps you do just that, with clear explanations of everything you need to know to build a diversified bond portfolio that will be there when you need it no matter what happens in the stock market. This plain-English guide clearly explains the pros and cons of investing in bonds, how they differ from stocks, and the best (and worst!) ways to select and purchase bonds for your needs. You'll get up to speed on the different bond varieties and see how to get the best prices when you sell. Covers the ups and downs of today's market, which reinforces the importance of bonds in a portfolio Explains how a radical fall in interest rates make bond investing trickier than ever Explores the historic downgrade of U.S. Treasuries and its possible effects on government bonds If you're an investor looking for a resource that helps you understand, evaluate, and incorporate bonds into your portfolio, Bond Investing For Dummies has you covered.
Case Studies in Bayesian Statistics
The 4th Workshop on Case Studies in Bayesian Statistics was held at the Car negie Mellon University campus on September 27-28, 1997. As in the past, the workshop featured both invited and contributed case studies. The former were presented and discussed in detail while the latter were presented in poster format. This volume contains the four invited case studies with the accompanying discus sion as well as nine contributed papers selected by a refereeing process. While most of the case studies in the volume come from biomedical research the reader will also find studies in environmental science and marketing research. INVITED PAPERS In Modeling Customer Survey Data, Linda A. Clark, William S...
Gentlemen Bankers
This account of the Morgan family’s social and economic circles and Wall Street’s unspoken rules “greatly enriches our understanding of the entire era.” —The Wall Street Journal Gentlemen Bankers investigates the social and economic circles of one of America’s most renowned and influential financiers to uncover how the Morgan family’s power and prestige stemmed from its unique position within a network of local and international relationships. At the turn of the twentieth century, private banking was a personal enterprise in which business relationships were a statement of identity and reputation. In an era when ethnic and religious differences were pronounced and anti-Semitism...
The Statistical Analysis of Functional MRI Data
The study of brain function is one of the most fascinating pursuits of m- ern science. Functional neuroimaging is an important component of much of the current research in cognitive, clinical, and social psychology. The exci- ment of studying the brain is recognized in both the popular press and the scienti?c community. In the pages of mainstream publications, including The New York Times and Wired, readers can learn about cutting-edge research into topics such as understanding how customers react to products and - vertisements (“If your brain has a ‘buy button,’ what pushes it?”, The New York Times,October19,2004),howviewersrespondtocampaignads(“Using M. R. I. ’s to see politics...
All of Nonparametric Statistics
This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. It covers a wide range of topics including the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book’s dual approach includes a mixture of methodology and theory.
All of Statistics
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
The Rebuke of History
In 1930, a group of southern intellectuals led by John Crowe Ransom, Allen Tate, Donald Davidson, and Robert Penn Warren published I'll Take My Stand: The South and the Agrarian Tradition. A stark attack on industrial capitalism and a defiant celeb
Bayesian Nonparametrics via Neural Networks
Bayesian Nonparametrics via Neural Networks is the first book to focus on neural networks in the context of nonparametric regression and classification, working within the Bayesian paradigm. Its goal is to demystify neural networks, putting them firmly in a statistical context rather than treating them as a black box. This approach is in contrast to existing books, which tend to treat neural networks as a machine learning algorithm instead of a statistical model. Once this underlying statistical model is recognized, other standard statistical techniques can be applied to improve the model. The Bayesian approach allows better accounting for uncertainty. This book covers uncertainty in model choice and methods to deal with this issue, exploring a number of ideas from statistics and machine learning. A detailed discussion on the choice of prior and new noninformative priors is included, along with a substantial literature review. Written for statisticians using statistical terminology, Bayesian Nonparametrics via Neural Networks will lead statisticians to an increased understanding of the neural network model and its applicability to real-world problems.
Investing in Bonds For Dummies
Improve the strength of your portfolio with this straightforward guide to bond investing Investing in Bonds For Dummies introduces you to the basics you need to know to get started with bond investing. You’ll find details on understanding bond returns and risks, and recognizing the major factors that influence bond performance. Unlike some investing vehicles, bonds typically pay interest on a regular schedule, so you can use them to provide an income stream while you protect your capital. This easy-to-understand guide will show you how to incorporate bonds into a diversified portfolio and a solid retirement plan. Learn the ins and outs of buying and selling bonds and bond funds Understand the risks and potential rewards in corporate bonds, government bonds, and beyond Diversify your portfolio by using bonds to balance stocks and other investments Gain the fundamental information you need to make smart bond investment choices This Dummies investing guide is great for investors looking for a resource to help them understand, evaluate, and incorporate bonds into their current investment portfolios.
