<p>It is well known that the normal distribution is the most pleasant, one can even say, an exemplary object in the probability theory. It combines almost all conceivable nice properties that a distribution may ever have: symmetry, stability, indecomposability, a regular tail behavior, etc. Gaussian
Gaussian random functions
β Scribed by Hazewinkel, M.; Lifshits, M. A
- Publisher
- Springer Netherlands;Kluwer Academic
- Year
- 1995
- Tongue
- English
- Leaves
- 346
- Series
- Mathematics and Its Applications 322
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
TABLE OF CONTENTS; PREFACE; Section 1; Section 2; Section 3; Section 4; Section 5; Section 6; Section 7; Section 8; Section 9; Section 10; Section 11; Section 12; Section 13; Section 14; Section 15; Section 16; Section 17; Section 18; Section 19; REFERENCESΒ·; SUBJECT INDEX; LIST OF BASIC NOTATIONS.
β¦ Table of Contents
TABLE OF CONTENTS
PREFACE
Section 1
Section 2
Section 3
Section 4
Section 5
Section 6
Section 7
Section 8
Section 9
Section 10
Section 11
Section 12
Section 13
Section 14
Section 15
Section 16
Section 17
Section 18
Section 19
REFERENCESΒ·
SUBJECT INDEX
LIST OF BASIC NOTATIONS.
β¦ Subjects
Distribution (Probability theory;Electronic books
π SIMILAR VOLUMES
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<p>The book deals mainly with three problems involving Gaussian stationary processes. The first problem consists of clarifying the conditions for mutual absolute continuity (equivalence) of probability distributions of a "random process segment" and of finding effective formulas for densities of the
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