The Statistical Stability Phenomenon
This monograph investigates violations of statistical stability of physical events, variables, and processes and develops a new physical-mathematical theory taking into consideration such violations – the theory of hyper-random phenomena. There are five parts. The first describes the phenomenon of s...
Κύριος συγγραφέας: | |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
|
Σειρά: | Mathematical Engineering,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Features of the Statistical Stability Phenomenon
- The Phenomenon of Statistical Stability and its Properties
- Determinism and Uncertainty
- Formalization of the Statistical Stability Concept
- Dependence of the Statistical Stability of a Stochastic Process on its Spectrum-Correlation Characteristics
- Experimental Study of the Statistical Stability Phenomenon
- Experimental Investigation of the Statistical Stability of Physical Processes over Large Observation Intervals
- Experimental Investigation of the Statistical Stability of Meteorological Data
- Experimental Studies of the Statistical Stability of Radiation from Astrophysical Objects
- Statistical Stability of Different Types of Noise and Process
- The Theory of Hyper-random Phenomena
- Hyper-random Events and Variables
- Hyper-random Functions
- Stationary and Ergodic Hyper-random Functions
- Transformations of Hyper-random Variables and Processes
- Fundamentals of the Statistics of Hyper-random Phenomena
- Principles of the Mathematical Analysis of Divergent and Many-valued Functions
- Divergent Sequences and Functions
- Description of Divergent Sequences and Functions
- Divergent Sequences
- Many-valued Variables, Sequences, and Functions
- Principles of the Mathematical Analysis of Many-valued Functions
- Statistical Laws in Statistical Stability Violation
- The Law of Large Numbers
- The Central Limit Theorem
- Accuracy and Measurement Models
- The Problem of Uncertainty
- Epilogue
- References.