Chapman & Hall/CRC Monographs on Statistics & Applied Probability

New and Published Books

1-10 of 93 results in Chapman & Hall/CRC Monographs on Statistics & Applied Probability

1. Statistical Methods for Stochastic Differential Equations

   By Mathieu Kessler, Alexander Lindner, Michael Sorensen

   Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

   The seventh volume in the SemStat series, Statistical Methods for Stochastic Differential Equations presents current research trends and recent developments in statistical methods for stochastic differential equations. Written to be accessible to both new students and seasoned researchers, each...

   Published May 16th 2012 by Chapman and Hall/CRC
2. Maximum Likelihood Estimation for Sample Surveys

   By Raymond L. Chambers, David G. Steel, Suojin Wang, Alan Welsh

   Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

   Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely-used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and...

   Published May 1st 2012 by Chapman and Hall/CRC
3. Extreme Value Methods with Applications to Finance

   By Serguei Y. Novak

   Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

   Extreme value theory (EVT) deals with extreme (rare) events, which are sometimes reported as outliers. Certain textbooks encourage readers to remove outliers—in other words, to correct reality if it does not fit the model. Recognizing that any model is only an approximation of reality,...

   Published December 19th 2011 by CRC Press
4. Dynamic Prediction in Clinical Survival Analysis

   By Hans van Houwelingen, Hein Putter

   Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

   There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascular disease, and chronic kidney disease. Current practice is to use prediction models based on the Cox proportional hazards model and to...

   Published November 8th 2011 by CRC Press
5. Statistical Inference

   The Minimum Distance Approach

   By Ayanendranath Basu, Hiroyuki Shioya, Chanseok Park

   Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

   In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by "Minimum Distance Estimation" is...

   Published June 21st 2011 by Chapman and Hall/CRC
6. Smoothing Splines

   Methods and Applications

   By Yuedong Wang

   Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

   A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent years and has been widely used in many application areas, from medicine to economics. Smoothing Splines: Methods and Applications covers basic smoothing spline...

   Published June 21st 2011 by Chapman and Hall/CRC
7. Robust Nonparametric Statistical Methods, Second Edition

   By Thomas P. Hettmansperger, Joseph W. McKean

   Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

   Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the...

   Published December 19th 2010 by CRC Press
8. Simultaneous Inference in Regression

   By Wei Liu

   Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

   Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods of parameter estimation and hypothesis testing. Simultaneous Inference in Regression provides a thorough overview of the construction methods and applications of...

   Published October 18th 2010 by CRC Press
9. Circular and Linear Regression

   Fitting Circles and Lines by Least Squares

   By Nikolai Chernov

   Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

   Find the right algorithm for your image processing application Exploring the recent achievements that have occurred since the mid-1990s, Circular and Linear Regression: Fitting Circles and Lines by Least Squares explains how to use modern algorithms to fit geometric contours (circles and circular...

   Published June 21st 2010 by CRC Press
10. Statistical Inference

    An Integrated Bayesian/Likelihood Approach

    By Murray Aitkin

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to...

    Published June 1st 2010 by Chapman and Hall/CRC