A poisson process is a non-deterministic process where events occur continuously and independently of each other. An example of a poisson process is the radioactive decay of radionuclides.
A poisson distribution is a discrete probability distribution that represents the probability of events (having a poisson process) occurring in a certain period of time.
menu ki pata :p
A random variable is a variable which can take different values and the values that it takes depends on some probability distribution rather than a deterministic rule. A random process is a process which can be in a number of different states and the transition from one state to another is random.
A change is an exchange,a growing process towards making a difference between two or more variables,while growth is the positive and workable realisation of the change-process.
Explain the difference between capability and control.
A random process is a sequence of random variables defined over a period of time.
bhbhgfbcvbvc gbfdgbdcgvdfgvf dfgvdfvbcb df
menu ki pata :p
J. E. Ehrenberg has written: 'Estimation of the intensity of a filtered poisson process and its application to acoustic assessment of marine organisms' -- subject(s): Poisson distribution, Underwater acoustics
Inter-firm distribution is the process of distributing services, information, or products between two or more different firms. Intra-firm distribution is distribution of services, information, or products within one single firm.
Logistics deals more with planning, information flow, and improving on the ways to get the product to the consumer. Distribution is basically just the process of physically getting the product to the consumer.
Explain the difference between the elements of the communication process and the communication process
Explain the difference between the elements of the communication process and the communication process
A continuous-time stochastic process is called a semi-Markov process or 'Markov renewal process' if the embedded jump chain (the discrete process registering what values the process takes) is a Markov chain, and where the holding times (time between jumps) are random variables with any distribution, whose distribution function may depend on the two states between which the move is made. A semi-Markov process where all the holding times are exponentially distributed is called a continuous time Markov chain/process
What the difference between process piping and power piping?
What is a difference between product metrics and process metrics
what is the difference between license and patent
ihhkkjjknm,n