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Your search keyword '"Daniel Ray"' showing total 14 results
Start Over Author "Daniel Ray" Publication Year Range More than 50 years ago
14 results on '"Daniel Ray"'

1. LETTERS.

Author

BUHLER, HENRY H., WILSON, JOHN T., THOMPSON, WINIFRED, TOLMAN, FRANCIS W., TOLMAN, NEWTON F., ADAMS, H. C., MCCARTHY, LAWRENCE, DANIEL, RAY K., LANSBURGH, ROBERT I., McNuLTY, JOHN, MALLIN, T., PETERSON, CHARLES C., SILBER, ERWIN, KIRK, CHARLES T., MULHALL, WILLIAM, JACKSON, VIRGINIA, and SMYTHE, EDWARD JAMES

Subjects
HOTEL accidents, SCIENTISTS, HURRICANES
Published
1946

2. On the distribution of first hits for the symmetric stable processes

Author

R. M. Blumenthal, R. K. Getoor, and Daniel Ray

Subjects
Discrete mathematics, Distribution (mathematics), Lebesgue measure, Applied Mathematics, General Mathematics, Product (mathematics), Fixed point, Mathematics
Abstract

Here t>0, x and t are points in RN, dS is N-dimensional Lebesgue measure, (x, t) is the usual inner product in RN, and j | 2=Q(, t). Throughout this paper integrals will be over all of RN unless explicitly stated otherwise. Of course, to determine our process we must also specify the distribution of X(O). We will always assume that our process starts from some fixed point x in RN; that is, X(O) = x with probability one. We will write P. and E. for probabilities and expectations under the condition X(O) = x. We will assume that the sample functions are normalized to be right continuous and to have left limits everywhere. See [2, ?2] for a complete description of this setup. Define

Published
1961
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4. Stationary Markov processes with continuous paths

Author

Daniel Ray

Subjects
Markov kernel, Markov chain, Applied Mathematics, General Mathematics, Markov process, Markov model, Time reversibility, Continuous-time Markov chain, symbols.namesake, Markov renewal process, symbols, Markov property, Statistical physics, Mathematics
Published
1956
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5. Stable processes with an absorbing barrier

Author

Daniel Ray

Subjects
Discrete mathematics, Stable process, Applied Mathematics, General Mathematics, Bounded function, Process (computing), Exponent, Random variable, Mathematics
Abstract

1. Introduction. Let { X(t), t _ 0 } be a symmetric stable process on the real linle, with exponent o4, 0 0, bounded on finite t-intervals. For such a process, if I= (a, b) is an arbitrary (finite or infinite) open initerval containing the origin, the random variable

Published
1958
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9. Authors

Author

Civita, P., primary, Fornaciari, P., additional, Mazzanti, T., additional, Naft, Barry N., additional, Sesonske, Alexander, additional, Carter, J. C., additional, Purviance, R. T., additional, Boland, J. F., additional, Dickerman, C. E., additional, Hanson, J. E., additional, Vaughn, A. D., additional, Smith, R. I., additional, Meyer, R. O., additional, Buescher, B. J., additional, Goldman, Morton I., additional, James, Lee A., additional, Daniel, Ray C., additional, Reynolds, Miles, additional, Porges, K. G., additional, Augustson, R. H., additional, Henry, C. N., additional, Weisbin, C. R., additional, Filippone, W. L., additional, and Munno, F. J., additional

Published
1972
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12. Analytic Torsion for Complex Manifolds

Author

Isadore Manuel Singer and Daniel Ray

Subjects
Pure mathematics, Mathematics (miscellaneous), Flat vector bundle, Ricci-flat manifold, Mathematical analysis, Stein manifold, Invariant manifold, Analytic torsion, Hermitian manifold, Statistics, Probability and Uncertainty, Complex manifold, Complex torus, Mathematics
Published
1973
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13. An Analysis of the Mathematics Necessary for a Course in Research Statistics for the Behavioral Sciences

Author

Peterson, Daniel Ray

Subjects
behavioral science, Social sciences -- Statistical methods -- Study and teaching., Statistics -- Study and teaching., statistical mathematics
Abstract

This study attempted to determine the specific mathematics necessary to a student in a beginning course in behavioral science research statistics. To determine the most desirable form for a review of mathematics prior to a research statistics course,, it was first necessary to determine the following: (1) the specific overall content of such a course, (2) the specific mathematics topics of such a course, and (3) the specific mathematics operations utilized in such a course. The study consisted of three parts. The first phase was a determination of the content of a typical beginning course in research statistics for the behavioral sciences. To make this determination, a survey was conducted among forty universities chosen by random sampling from those in the United States offering the Doctor of Education degree. Course outlines and textbooks used by these universities were analyzed, and topics were tabulated. In addition, a selection of recent statistics texts was analyzed, and these topics were also tabulated. These tables were used as a means of content determination.

Published
1972

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