Normal random variable
Definition: [crh] A random variable that has a normal probability distribution.
Discrete Random Variable
Discrete Random Variable definition :
A random variable that can take only a certain specified set of individual possible values-for example, the positive integers 1, 2, 3, . . .
CONTINUOUS RANDOM VARIABLE - A random value that can take any fractional value within specified ranges,...
CONTINUOUS REPO - A repo/reverse repo transaction that does not have a specified term. These transactio...
Continuous random variable
Definition: A continuous random variable is one which takes an infinite number of possible values. Continuous random variables are usually measurements.
Random Variable
A variable that takes on different numerical values that are determined by chance.
Random Variable
A variable whose value is unknown or a function that assigns values to each of an experiment's outcomes.
A random variable Y is called infinitely divisible if, for each , there are independent and identically-distributed random variables
such that
where denotes equality in distribution.
A random variable that has a normal probability distribution.
Not a name with us
Refers to over-the-counter trading. Not a registered market-maker in the security, especially in O.T.C. and convertibles, or having nothing real to do.
A random variable that has a normal probability distribution.
Normal retirement
The age or number of working years after which a pension plan beneficiary can retire and receive unreduced benefits immediately.
A random variable that can take only a certain specified set of individual possible values-for example, the positive integers 1, 2, 3, . . .
Discrete variable ...
3. Random variables tB - sB are normally distributed with mean 0 and variance t - s, for t > s.
4. Random variables tB - sB and vB - uB are independent whenever v > u t > s 0.
If a random variable X has the expected value (mean) μ = E[X], then the variance of X is given by:
This definition encompasses random variables that are discrete, continuous, or neither. It can be expanded as follows: ...
Normal random variable
A random variable that has a normal probability distribution.
for a discrete random variable, the probability density function at a specific value is the probability that the random variable will have that value; for a continuous random variable, ...
Random variable
An economic or statistical variable that takes on multiple (or a continuum of) values, each with some probability that is specified by a probability distribution (or probability density function).
Rate of interest ...
Random variable A function that assigns a real number to each and every possible outcome of a random experiment.
Discrete random variable A random variable that can take only a certain specified set of individual possible values-for example, the positive integers 1, 2, 3, . . .
Correlation coefficient A standardized statistical measure of the dependence of two random variables, defined as the covariance divided by the standard deviations of two variables.
Normal probability distribution A probability distribution for a continuous random variable that forms a symmetrical bell-shaped curve around the mean. This distribution has no skewness or excess kurtosis.
Probability density function The probability function for a continuous random variable.
Covariance measures the relationship between two random variables. For example, we might measure whether a sample population liked drinking wine, and whether they liked eating cheese.
Stochastic modeling is a statistical process that uses probability and random variables to predict a range of probable investment performances.
A measure of how two random variables behave in relation to each other. It differs from correlation in that it incorporates measurements of the magnitude of the variations, as opposed to the correlation coefficient which is dimensionless.
" --- Note: the notation Ex[] means the expectation of the expression taken over the random variable X. The result of the expression could still be a random variable if there are other random variables in the expression.
Standard deviation measures the dispersal or uncertainty in a random variable, e.g., investment returns. It measures the degree of variation of returns around the mean or (average) return.
A statistical range that a random variable will lie within a known percentage of the time, under specified assumptions about the distribution of a random variable. Confidence intervals are the basis of VAR analysis.
Confirming a Letter of Credit ...
A function that shows the probability that the random variable will
attain a value less than or equal to each value that the random variable can take on.
Related Terms:
CARs (cumulative abnormal returns) ...
If g(-) is a convex function and X is a random variable with nonzero variance, then
E(g(X)) > g(E(X)).
If f(-) is a concave function and X is a random variable with nonzero variance, then ...
The tendency for subsequent observations of a random variable to be closer to its mean than the current observation.
The expected value of a random variable. Arithmetic average of a sample.
Mean of the sample
The arithmetic average; that is, the sum of the observations divided by the number of observations.
A function that describes all the values that a random variable can take and the probability associated with each. Also called a probability function.
Probability distributions can be: ...
A standardized statistical measure of the dependence of two random variables, defined as the covariance divided by the standard deviations of two variables.
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Personal Finance Glossary ...
Also called a probability function, a function that describes all the values that the random variable can take and the probability associated with each.
Personal Finance Headlines
SEARCH: ...
Among other useful measures of information is mutual information, a measure of the correlation between two random variables. Mutual information is defined for two events and as
where is the joint entropy or ...
Several definitions: 1) In statistical terms, this is the simultaneous increase or decrease of two numerically valued random variables. 2) In lay man terms, this is a word used to describe some kind of association.
In the probability theory, a sequence of random variables is IID only if each of these variables has a probability distribution equals to the other and mutually independent.
The standard deviation is a statistical measure that is commonly viewed as a reasonable measure of risk. It measures the variability of a random variable around its expected value or mean, and equals the square root of the variance.
Moments (single)
Moments (song)
Moments In Grace
Moments in Grace (band)
Moments Matching Approximation (Algorithm)
Moments musicals
Moments of a function of a random variable
moments of inertia
moments of inertia ...
Standard deviation [r]: A statistical measure for the fluctuation of a random variable about its mean value (the square root of the variance). [e] ...
lognormal distribution A probability distribution in which the log of the random variable is normally...
 See also: Values, Expense, Expected return, Banks, Probability distribution
  
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