What is a deterministic variable
Deterministic variable in stochastics
Copyright c ○ by Stochasticson GmbH (http://encyclopedia.stochastikon.com) 1
The Stochastics strictly distinguishes between what is and what isin
i.e. between the completed operations and those not yet completed
Operations. Everything that is closed becomes a fact.
Given quantification, all facts consist of numbers that are definite
Sizes assigned sind.
Accordingly, eine deterministisch variable eine quantified quantity,
theen value is fixed, i.e. determinis ized.
E.ine deterministic variable is determined by
1. ein Symbol,
2. eine meaning,
3. their current value.
In generalinen is the Current Valuesinhe deterministischen variablen unknown.
All we know about him is that he does not accept certain values
can that one therefore inthe can exclude the given situation. All values,
who cannot be excluded in this way come for the
unknown current value in Consideration. Describes the set of these values
the extent the Ignorance (ignorance) about the current value and will
therefore called the ignorance room.
All problems related to deterministischen variablen relate
focus on the determinized but unknown current value the deterministischen
variablen. Methods for solving these problems form the class
the Measurement method.
In connection with the Bernoulli space there is the deterministic variable
from the for einen inprocess of interest relevant variables of the initial state.
The representation of these quantities and their values see pind of course
keinesweg einclear. Through every reversible transformation einhe deterministischen
variablen one obtains eine atthee equivalent representation the relevant
Depending on the importance the deterministic variablen one differentiates
• Situation-related representation:
Copyright c ○ by Stochasticson GmbH (http://encyclopedia.stochastikon.com) 2
In this case the deterministic variable from sizes like
Temperature, speedinfitness, weight, etc. that directly give the given
Describe the situation.
• Moment-related representation:
In this case the deterministic variable from the moments
the associated random variablen X.
• Distribution-related representation:
At the distribution-related representation consists of the deterministic
variable from distribution parameters.
Any representation the deterministischen variablen can einclear in eine the
attheen representations can be transformed. Each the Describes representations
the same, namely the one for the inrelevant part of the process of interest the
Copyright c ○ by Stochastik on GmbH (http://encyclopedia.stochastikon.com) 1 Determ in istische variable strong > in the stochastics The stochastics strictly differentiate between what is and what it in is, that is, between the completed tasks and the not yet completed tasks. Everything that is closed becomes a fact. Assuming quantification, all facts consist of numbers assigned to certain sizes s in d. Accordingly, e in e determ in istic variable e in e quantified quantity, the strong > the value is fixed, ie determin in iert. E in e determ in istic variable is determined by 1. e in symbol, 2. e in e meaning, 3. their current value. In general in en is the current value e in he determ in istic variable n unknown. All you know about him is that he cannot assume certain values, which can therefore be excluded in the given situation. All values that cannot be excluded in this way are considered for the unknown current value in . The set of these values describes the extent of the ignorance (ignorance) about the current value and is therefore called the ignorance space. All problems related to determ in istic variables n relate to the determ in ized but unknown current value of strong > determ in istic variables n. Methods for solving these problems form the class of measurement methods. In connection with the Bernoulli space, the determ in istic variable consists of the processes relevant to e in en in Sizes of the initial state. The representation of these quantities and their values is in d of course ke in esweg e in . Through every reversible transformation e in he determ in istic variable n one gets e in e an the e equivalent representation of the relevant determ in istic variables n. Depending on the the meaning the determ in istic variable n, a distinction is made between different representations: • Situation-related representation:
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