Author	Zacks, Shelemyahu. author
Title	Stochastic Visibility in Random Fields [electronic resource] / by Shelemyahu Zacks
Imprint	New York, NY : Springer New York, 1994
Connect to	http://dx.doi.org/10.1007/978-1-4612-2690-1
Descript	XI, 175 p. 14 illus. online resource

The present monograph is a comprehensive summary of the research on visibility in random fields, which I have conducted with the late Professor Micha Yadin for over ten years. This research, which resulted in several published papers and technical reports (see bibliography), was motivated by some military problems, which were brought to our attention by Mr. Pete Shugart of the US Army TRADOC Systems Analysis Activity, presently called US Army TRADOC Analysis Command. The Director ofTRASANA at the time, the late Dr. Wilbur Payne, identified the problems and encouraged the support and funding of this research by the US Army. Research contracts were first administered through the Office of Naval Research, and subsequently by the Army Research Office. We are most grateful to all involved for this support and encouragement. In 1986 I administered a three-day workshop on problem solving in the area of stoยญ chastic visibility. This workshop was held at the White Sands Missile Range facility. A set of notes with some software were written for this workshop. This workshop led to the incorporation of some of the methods discussed in the present book into the Army simulation package CASTFOREM. Several people encouraged me to extend those notes and write the present monograph on the level of those notes, so that the material will be more widely available for applications

0. Introduction -- 0.1. Aims and Objectives -- 0.2. Some Military Applications -- 0.3. Synopsis -- 1. Probability Models -- 1.1. Probability Models For Obscuring Elements -- 1.2. Glossary of Distributions -- 1.3. Random Fields -- 2. Geometrical Probability, Coverage and Visibility in Random Fields -- 2.1. Intersection of Lines By Random Segments -- 2.2. Random Lines Intersecting Circles -- 2.3. Random Disks Intersecting Lines -- 2.4. The Coverage of a Circle By Random Arcs -- 2.5. Vacancies On The Circle -- 2.6. Vacancies On The Plane -- 2.7. Visitiblity of Points on a Circle In a Poisson Field -- 2.8. Distribution of Clump Size In a Poisson Field on The Line -- 3. Visibility Probabilities -- 3.1. Geometric Methods: Standard Poisson Fields -- 3.2. Analytic Methods: General Poisson Fields -- 3.3. An Alternative Geometric-Analytic Method -- 3.4. The Visibility of Windows -- 4. Visibility Probabilities II -- 4.1. The Multi-Observer Multi-Target Shadowing Model and Simultaneous Visibility Probabilities -- 4.2. General Formulae of mk(n,n?) for the Standard Poisson Field -- 4.3. Determination of mk(n,n?) in Cases of Non-Standard Poisson Fields -- 4.4. Joint Visibility of Windows -- 4.5. Visibility of Points in Space -- 5. Distributions of Visibility Measures -- 5.1. The Distribution of The Number of Visible Targets -- 5.2. An Integrated Measure of Visibility on a Star-Shaped Curve -- 5.3. The Moments of W -- 5.4. Approximations to the Distribution of W -- 6. Distributions of The Visible and Invisible Segments -- 6.1. The Distribution of The Length of A Visible Segment -- 6.2. The Functions K+*(x,t) in the Standard-Uniform Case -- 6.3. Distribution of The Right-Hand Limit of A Shadow Cast by a Single Disk -- 6.4. Distribution of The Right Hand Limit of a Shadow Starting at a Given Point -- 6.5. Discrete Approximation -- 6.6. Distribution of the Number of Shadows -- 6.7. Survival Probability Functions -- 7. Problems and Solutions -- 7.1.1. Problems For Chapter 1 -- 7.1.2. Solutions For Chapter 1 -- 7.2.1. Problems For Chapter 2 -- 7.2.2. Solutions For Chapter 2 -- 7.3.1. Problems For Chapter 3 -- 7.3.2. Solutions For Chapter 3 -- 7.4.1. Problems For Chapter 4 -- 7.4.2. Solutions For Chapter 4 -- 7.5.1. Problems For Chapter 5 -- 7.5.2. Solutions For Chapter 5 -- 7.6.1. Problems For Chapter 6 -- 7.6.2. Solutions For Chapter 6 -- References -- Computer Programs

1. Mathematics
2. Probabilities
3. Mathematics
4. Probability Theory and Stochastic Processes