Bon Appetit!French-English Menu Dictionary
Author:Judith A. White
This text will add a new dimension to eating out in French cafes, brasseries or restaurants. This French -English menu dictionary has over 3,500 menu terms translate d which will help you enjoy the delicious dishes that the Fr ench always present.
Eurekahedge Global Fund of Funds Directory
Covering over 930 Fund of Funds this is a market leading
directory of the Fund of Hedge Funds Universe
Building Your eBay Traffic the Smart Way
Author:Joseph T Sinclair;
Advanced Financial Risk Management
Author:Donald R. Van Deventer;Kenji Imai;Mark Mesler
This book is written by experienced risk managers, integrating interest rate risk, credit risk, FX risk and capital allocation using a consistent risk management approach. It explains, in detailed yet understandable terms, the analytics of interest rate risk, credit risk, foreign exchange risk and capital allocation from A to Z.
This book bridges the gap between the idealized assumptions used for valuation and the realities that must be reflected in management actions, and includes:
- The basics of present value, forward rates and interest rate compounding
- American fixed income options vs. European options
- The wide variety of alternatives term structure models to the basic Vasicek model
Semimartingales and Their Statistical Inference
Author:B.L.S.Prakasa Rao
- Provides all of the research on the asymptotic theory for semimartingales in one volume
- Contains the practice on the inferential aspect of semimartingales
- Includes applications of stochastic modeling from engineering, economic systems, financial economics, and medical sciences
- Presents new and challenging statistical and probabilistic problems for the active researcher
Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its applications to engineering and economic systems, financial economics, and the biological and medical sciences have made statistical inference for stochastic processes a well-recognized and important branch of statistics and probability.
The class of semimartingales includes a large class of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic modeling. Until now, however, researchers have had no single reference that collected the research conducted on the asymptotic theory for semimartingales.
Semimartingales and their Statistical Inference, fills this need by presenting a comprehensive discussion of the asymptotic theory of semimartingales at a level needed for researchers working in the area of statistical inference for stochastic processes.
The author brings together into one volume the state-of-the-art in the inferential aspect for such processes. The topics discussed include:
- Asymptotic likelihood theory
- Quasi-likelihood
- Likelihood and efficiency
- Inference for counting processes
- Inference for semimartingale regression models
The author addresses a number of stochastic modeling applications from engineering, economic systems, financial economics, and medical sciences. He also includes some of the new and challenging statistical and probabilistic problems facing today's active researchers working in the area of inference for stochastic processes.
Author:Judith A. White
This text will add a new dimension to eating out in French cafes, brasseries or restaurants. This French -English menu dictionary has over 3,500 menu terms translate d which will help you enjoy the delicious dishes that the Fr ench always present.
Eurekahedge Global Fund of Funds Directory
Covering over 930 Fund of Funds this is a market leading
directory of the Fund of Hedge Funds Universe
Building Your eBay Traffic the Smart Way
Author:Joseph T Sinclair;
Advanced Financial Risk Management
Author:Donald R. Van Deventer;Kenji Imai;Mark Mesler
This book is written by experienced risk managers, integrating interest rate risk, credit risk, FX risk and capital allocation using a consistent risk management approach. It explains, in detailed yet understandable terms, the analytics of interest rate risk, credit risk, foreign exchange risk and capital allocation from A to Z.
This book bridges the gap between the idealized assumptions used for valuation and the realities that must be reflected in management actions, and includes:
- The basics of present value, forward rates and interest rate compounding
- American fixed income options vs. European options
- The wide variety of alternatives term structure models to the basic Vasicek model
Semimartingales and Their Statistical Inference
Author:B.L.S.Prakasa Rao
- Provides all of the research on the asymptotic theory for semimartingales in one volume
- Contains the practice on the inferential aspect of semimartingales
- Includes applications of stochastic modeling from engineering, economic systems, financial economics, and medical sciences
- Presents new and challenging statistical and probabilistic problems for the active researcher
Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its applications to engineering and economic systems, financial economics, and the biological and medical sciences have made statistical inference for stochastic processes a well-recognized and important branch of statistics and probability.
The class of semimartingales includes a large class of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic modeling. Until now, however, researchers have had no single reference that collected the research conducted on the asymptotic theory for semimartingales.
Semimartingales and their Statistical Inference, fills this need by presenting a comprehensive discussion of the asymptotic theory of semimartingales at a level needed for researchers working in the area of statistical inference for stochastic processes.
The author brings together into one volume the state-of-the-art in the inferential aspect for such processes. The topics discussed include:
- Asymptotic likelihood theory
- Quasi-likelihood
- Likelihood and efficiency
- Inference for counting processes
- Inference for semimartingale regression models
The author addresses a number of stochastic modeling applications from engineering, economic systems, financial economics, and medical sciences. He also includes some of the new and challenging statistical and probabilistic problems facing today's active researchers working in the area of inference for stochastic processes.
posted by Think at 2:10 am
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