Suitable as a supplement or primary text, FAME integrates corporate finance with spreadsheet analysis using Excel. It is ideal for courses in financial management, financial models, capital budgeting, or case courses. This edition is updated for Excel 2000 as well as new topics in finance.
Probability and statistics are concerned with events which occur by chance. Examples
include occurrence of accidents, errors of measurements, production of defective and
nondefective items from a production line, and various games of chance, such as
drawing a card from a well-mixed deck, flipping a coin, or throwing a symmetrical
six-sided die. In each case we may have some knowledge of the likelihood of various
possible results, but we cannot predict with any certainty the outcome of any particular
The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.
Statistical methods for survival data analysis have continued to flourish in the
last two decades. Applications of the methods have been widened from their
historical use in cancer and reliability research to business, criminology,
epidemiology, and social and behavioral sciences. The third edition of Statistical
Methods for Survival Data Analysis is intended to provide a comprehensive
introduction of the most commonly used methods for analyzing survival data.
It begins with basic definitions and interpretations of survival functions....
Software requirements for engineering and scientific applications are almost always computational and possess an advanced mathematical component. However, an application that calls for calculating a statistical function, or performs basic differentiation of integration, cannot be easily developed in C++ or most programming languages. In such a case, the engineer or scientist must assume the role of software developer.
CHAPTER 41 Interval Estimation. We will ﬁrst show how the least squares principle can be used to construct conﬁdence regions, and then we will derive the properties of these conﬁdence regions. 41.1. A Basic Construction Principle for Conﬁdence Regions The least squares objective function
The current extraordinary advances in basic biomedical and social sciences
have unprecedented potential to improve the human condition. These
insights, together with the human genome project and its successor
proteomics, will require an enormous commitment to translational research
to harvest their applications for medicine and public health. The progress
in political and social theory, linguistics, statistics, psychology, and behavioral
sciences generally deserves a similarly broad application of human
research to reach full expression.
CONTINUOUS IMAGE MATHEMATICAL CHARACTERIZATION
In the design and analysis of image processing systems, it is convenient and often necessary mathematically to characterize the image to be processed. There are two basic mathematical characterizations of interest: deterministic and statistical. In deterministic image representation, a mathematical image function is defined and point properties of the image are considered. For a statistical image representation, the image is specified by average properties.
We propose a new speciﬁcally designed method for paraphrase generation based on Monte-Carlo sampling and show how this algorithm is suitable for its task. Moreover, the basic algorithm presented here leaves a lot of opportunities for future improvement. In particular, our algorithm does not constraint the scoring function in opposite to Viterbi based decoders. It is now possible to use some global features in paraphrase scoring functions. This algorithm opens new outlooks for paraphrase generation and other natural language processing applications like statistical machine translation.