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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...
Maybe Mandy:
Amanda Young, better known as Maybe Mandy, has had her ups and downs when it comes to love. Now's your chance to start from the beginning and read all three of her romantic comedy novellas in one collection. Follow along with Mandy as she searches for her happily ever after. Kinky Carnival Games, Maybe Mandy Book 1: My name is Mandy and I'm tired of being used by cheating boyfriends. It's time to level the playing field. No, I'm not a whore, but I am what you might call a modern woman. Not until my friends decided to hook me up on a blind date did I realize just how dirty and naughty my desires are. Let's just say this guy had no idea what he was getting himself into, and when he decided to ...
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...
Alice in Chains
It’s time to go now, Alice. Time to dive back into that rabbit hole. Hurry and finish your tea, Alice. Then return to where dark things go. Don’t cry, Alice. You chained and broken girl. You’re not as pure as you were before. You belong in a twisted world. Remember the blood and pain. So sweet are the torturous wails. Succumb to symphonic sighs. Make him believe your tales. It’s time to go now, Alice. You’ve already waited too long. The ethereal realm you miss so much Calls you back with its s*nsual song. Take the good doctor with you, dear. Show him where shattered things go. He’s mad as a loon, but he’ll see soon. Show him Wonderland. Show him home.
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.
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.
