I will rephrase your question, as to "What relationship does queueing theory and probability therory?" Queueing theory is the mathematical study of waiting lines See: http://en.wikipedia.org/wiki/Queueing_theory Wait times, by their nature, are uncertain but can be represented by probability distributions. From a distribution, I may be able to tell that the chance of waiting more than 5 minutes for service is 10%, or that there is a 95% chance that my complete time in a facility (service time and wait time) is less than 15 minutes. On the other side, queueing theory may determine how often those responsible for service have no customers. The theory has broad applications, ranging from computer networks, telephony systems, delivery of goods and services (such as mail, home repair, etc) to an area and customer service in any location where people might stand in line. Traffic analysis uses queueing theory extensively. The "forward" analyses begins with an assumed probability distribution. Given probability distributions that are thought to describe certain activities (number of customers arriving in a particular time span, time spent with each customer and special events -frequency of events and time spent on special events), the distribution of waiting times can be determined mathematically. Thus, probability theory provides the basis (distribution and mathematical theory) for queueing applications. Today, more complex queueing problems are solved by Monte-Carlo simulation, which after thousands (or hundreds of thousands) of repeated runs, can provide nearly the same accuracy of statistics and distributions as those generated from purely mathematical solution. More broadly, queueing modeling and theoretical solutions are within stochastic process analysis.
how theory of probability used in real life
The answer is: WORK THEM OUT
Blaise Pascal and Pierre de Fermat started corresponding over an issue on mathematics of gambling, from which the theory of probability developed in 1654.
I can not give you a simple answer. It is very individual and subjective. I will assume that you are referring to probability theory. Statistics is based on an understanding of probability theory. Many professions require basic understanding of statistics. So, in these cases, it is important. Probability theory goes beyond mathematics. It involves logic and reasoning abilities. Marketing and politics have one thing in common, biased statistics. I believe since you are exposed to so many statistics, a basic understanding of this area allows more critical thinking. The book "How to lie with statistics" is a classic and still in print. So, while many people would probably say that probability theory has little importance in their lives, perhaps in some cases if they knew more, it would have more importance.
yes
Tomasz Rolski has written: 'Order relations in the set of probability distribution functions and their applications in queueing theory' -- subject(s): Distribution (Probability theory), Probabilities, Queuing theory
Queueing Theory Calculator is a simple, yet powerful tool to process queueing models calculations, Erlang formulas for queues.
I will rephrase your question, as to "What relationship does queueing theory and probability therory?" Queueing theory is the mathematical study of waiting lines See: http://en.wikipedia.org/wiki/Queueing_theory Wait times, by their nature, are uncertain but can be represented by probability distributions. From a distribution, I may be able to tell that the chance of waiting more than 5 minutes for service is 10%, or that there is a 95% chance that my complete time in a facility (service time and wait time) is less than 15 minutes. On the other side, queueing theory may determine how often those responsible for service have no customers. The theory has broad applications, ranging from computer networks, telephony systems, delivery of goods and services (such as mail, home repair, etc) to an area and customer service in any location where people might stand in line. Traffic analysis uses queueing theory extensively. The "forward" analyses begins with an assumed probability distribution. Given probability distributions that are thought to describe certain activities (number of customers arriving in a particular time span, time spent with each customer and special events -frequency of events and time spent on special events), the distribution of waiting times can be determined mathematically. Thus, probability theory provides the basis (distribution and mathematical theory) for queueing applications. Today, more complex queueing problems are solved by Monte-Carlo simulation, which after thousands (or hundreds of thousands) of repeated runs, can provide nearly the same accuracy of statistics and distributions as those generated from purely mathematical solution. More broadly, queueing modeling and theoretical solutions are within stochastic process analysis.
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Aleksandr Alekseevich Borovkov has written: 'Ergodicity and stability of stochastic processes' -- subject(s): Ergodic theory, Stability, Stochastic processes 'Mathematical statistics' -- subject(s): Mathematical statistics 'Advances in Probability Theory' 'Probability theory' -- subject(s): Probabilities 'Veroyatnostnye protsessy v teorii massovogo obsluzhivaniya' 'Asymptotic methods in queueing theory' -- subject(s): Queuing theory
Zvi Rosberg has written: 'Queueing networks under the class of stationary service policies' -- subject(s): Queuing theory 'Queueing networks under the class of stationary service policies' -- subject(s): Queuing theory 'Queueing networks under the class of stationary service policies' -- subject(s): Queuing theory 'Queueing networks under the class of stationary service policies' -- subject(s): Network analysis (Planning), Queuing theory
Leonard Kleinrock has written: 'Broadband Networks for the 1990s' 'Communication Nets' -- subject(s): Telecommunication 'Queueing Systems, Computer Applications, Solution Manual' 'Theory, Volume 1, Queueing Systems' -- subject(s): Queuing theory 'Communication nets; stochastic message flow and delay' -- subject(s): Statistical communication theory, Telecommunication 'Queueing systems.' -- subject(s): Accessible book
John N. Daigle has written: 'Queueing theory for telecommunications' -- subject(s): Computer networks, Queuing theory
All the time. Statistic is based on the application of probability theory!
Statistics is based on probability theory so each and every development in statistics used probability theory.
Probability theory and distributive theory.