Basic statistical functions

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  • 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.

    pdf0p transang3 30-09-2012 65 40   Download

  • 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 trial....

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  • 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.

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  • (BQ) Part 1 book "Advanced calculus with applications in statistics" has contents: An introduction to set theory, basic concepts in linear algebra, limits and continuity of functions, differentiation, infinite sequences and series, integration, multidimensional calculus.

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  • 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....

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  • 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.

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  • 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

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  • 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.

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  • 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.

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  • 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.

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