Shopping on line can be easy, simple and save you lots of money. It can also take a lot of your time, frustrate you, and result in unwanted purchases. Now the same can be said for regular high street shopping, but with the vast opportunity presented by the Internet it will pay you to spend a few minutes reading this and understanding how to better optimize your Stochastic shopping experience:
1. Compare - without doubt the biggest advantage that the Stochastic offers shoppers today is the ability to compare thousands of Stochastic at a time. This is a great thing, but not necessarily all the time! Too much can be daunting at times so take advantage of the great comparison sites and where possible let them do the hard work for you.
2. Research - if it has been said it will be on the internet. Ignorance is no longer a justifiable reason for buying the wrong thing. Take the time to research in detail everything that you could possible want to know about
3. Testimonials - don't know anybody that has bought a Stochastic? Wrong! If the Stochastic is good the internet will let you know. Use the Internet as a friend and get testimonials before you buy.
4. Questions - Got a question about Stochastic then search the Forums, FAQ's, Blogs etc. Don't be afraid to ask .....
5. Reputation - Never heard of the company selling Stochastic? Don't worry, no reason why you should know every company in the world, but you know someone that does! Use the internet to find out what people are saying about Stochastic and build up a picture of their reputation for sales, returns, customer service, delivery etc.
6. Returns - still worried that even after all of the above your Stochastic wont be what you want? Check out the returns policy. There is so much competition now that someone, somewhere is bound to offer the terms that you are comfortable with.
7. Feedback - happy with your Stochastic then let people know, after all you are depending on others people input in your buying decision, so why not give a little back.
8. Security - check for the yellow padlock on the Stochastic site before you buy, and the s after http:/ /i.e. https:// = a secure site
9. Contact - got a question about Stochastic, or want to leave a comment then check out the sites contact page. Reputable companies have them and respond.
10. Payment - ready to pay for your Stochastic, then use your credit card or PayPal! Be aware of companies that don't accept them, there may be genuine reasons but given the huge amount of choice you have when buying online there is no reason at all not to buy via credit card or PayPal.
Stochastic, from the Greek language "stochos" or "aim, guess", means of, relating to, or characterized by conjecture and
randomness. A
stochastic process is one whose behavior is non-deterministic in that a state does not fully determine its next state.
Mathematical theory
In
mathematics, specifically in
probability theory, the field of
stochastic processes has for some decades been a major area of research.
A
stochastic matrix is a
matrix (mathematics) that has non-negative real number entries that sum to 1 in each column.
Artificial intelligence
In artificial intelligence stochastic programs work by using probabilistic methods to solve problems, as in
simulated annealing,
Stochastic neural network,
stochastic optimization, and genetic algorithms. A problem itself may be stochastic as well, as in planning under uncertainty. A
deterministic environment is much simpler for an agent to deal with.
Natural science
An example of a stochastic process in the natural world is pressure in a
gas. Even though (classically speaking) each molecule is moving in a deterministic path, the motion of a collection of them is computationally and practically unpredictable. A large enough set of molecules will exhibit stochastic characteristics, such as filling the container, exerting equal pressure, diffusing along concentration gradients,etc. These are
emergent property of the system.
Music
In music,
stochastic elements are randomly generated elements created by strict
mathematics processes.
Stochastic processes can be used in music to compose a fixed piece or can be produced in performance. Stochastic music was pioneered by
Iannis Xenakis, who used probability,
game theory, group theory, set theory, and
Boolean algebra (logic), and frequently used computers to produce his scores. Earlier, John Cage and others had composed
aleatoric music or indeterminate music, which is created by chance processes but does not have the strict mathematical basis (Cage's
Music of Changes, for example, uses a system of charts based on the
I-Ching).
Colour reproduction
When
colour printings are made, the image is separated into its component colors by taking multiple photographs filtered for each colour. One resultant film or plate represents each of the cyan, magenta, yellow, and black data. Colour printing is a binary system, where ink is either present or not present, so all color separations to be printed must be translated into dots at some stage of the workflow. Traditional
linescreens which are amplitude modulation had problems with moiré but were used until stochastic screening became available. A stochastic (or frequency modulation) dot pattern creates a more photorealistic image.
Language and linguistics
Non-deterministic approaches in language studies are largely inspired by the work of Ferdinand de Saussure. In
usage-based model, for example, where it is argued that competence, or langue, is based on
performance, or
parole, in the sense that linguistic knowledge is based on frequency of experience, grammar is often said to be probability and variable rather than fixed and absolute. This is so, because one's
competence changes in accordance with one's experience with linguistic units. This way, the frequency of usage-events determines one's knowledge of the language in question. For much later work in this area, see Julia Kristeva on her usage of the 'semiotic,'
Luce Irigaray on reverse Heideggerian epistomology, and Pierre Bourdieu on polythetic space for examples of stochastic social science theory.
Finance
The financial markets use stochastic models to value options on stock prices, bond prices, and on interest rates, see Markov models. Moreover, it is at the heart of the
Insurance.
Not to be confused with Stochastic Oscillators in Technical Analysis.
Further reading
- Formalized Music: Thought and Mathematics in Composition by Iannis Xenakis, ISBN 1-57647-079-2
- Frequency and the Emergence of Linguistic Structure by Joan Bybee and Paul Hopper (eds.), ISBN 1-58811-028-1/ISBN 90-272-2948-1 (Eur.)
Stochastic, from the Greek language "stochos" or "aim, guess", means of, relating to, or characterized by conjecture and
randomness. A
stochastic process is one whose behavior is non-deterministic in that a state does not fully determine its next state.
Mathematical theory
In
mathematics, specifically in probability theory, the field of
stochastic processes has for some decades been a major area of research.
A stochastic matrix is a matrix (mathematics) that has non-negative
real number entries that sum to 1 in each column.
Artificial intelligence
In
artificial intelligence stochastic programs work by using probabilistic methods to solve problems, as in
simulated annealing, Stochastic neural network, stochastic optimization, and
genetic algorithms. A problem itself may be stochastic as well, as in planning under uncertainty. A deterministic environment is much simpler for an agent to deal with.
Natural science
An example of a stochastic process in the natural world is pressure in a gas. Even though (classically speaking) each molecule is moving in a deterministic path, the motion of a collection of them is computationally and practically unpredictable. A large enough set of molecules will exhibit stochastic characteristics, such as filling the container, exerting equal pressure, diffusing along concentration gradients,etc. These are emergent property of the system.
Music
In music,
stochastic elements are randomly generated elements created by strict mathematics processes.
Stochastic processes can be used in music to compose a fixed piece or can be produced in performance. Stochastic music was pioneered by
Iannis Xenakis, who used probability, game theory, group theory,
set theory, and Boolean algebra (logic), and frequently used
computers to produce his scores. Earlier, John Cage and others had composed
aleatoric music or
indeterminate music, which is created by chance processes but does not have the strict mathematical basis (Cage's
Music of Changes, for example, uses a system of charts based on the
I-Ching).
Colour reproduction
When
colour printings are made, the image is separated into its component colors by taking multiple photographs filtered for each colour. One resultant film or plate represents each of the cyan, magenta, yellow, and black data. Colour printing is a binary system, where ink is either present or not present, so all color separations to be printed must be translated into dots at some stage of the workflow. Traditional
linescreens which are amplitude modulation had problems with moiré but were used until stochastic screening became available. A stochastic (or
frequency modulation) dot pattern creates a more photorealistic image.
Language and linguistics
Non-deterministic approaches in language studies are largely inspired by the work of Ferdinand de Saussure. In
usage-based model, for example, where it is argued that competence, or langue, is based on performance, or
parole, in the sense that linguistic knowledge is based on frequency of experience, grammar is often said to be
probability and variable rather than fixed and absolute. This is so, because one's
competence changes in accordance with one's experience with linguistic units. This way, the frequency of usage-events determines one's knowledge of the language in question. For much later work in this area, see Julia Kristeva on her usage of the 'semiotic,' Luce Irigaray on reverse Heideggerian epistomology, and Pierre Bourdieu on polythetic space for examples of stochastic social science theory.
Finance
The financial markets use stochastic models to value options on stock prices, bond prices, and on interest rates, see Markov models. Moreover, it is at the heart of the
Insurance.
Not to be confused with Stochastic Oscillators in Technical Analysis.
Further reading
- Formalized Music: Thought and Mathematics in Composition by Iannis Xenakis, ISBN 1-57647-079-2
- Frequency and the Emergence of Linguistic Structure by Joan Bybee and Paul Hopper (eds.), ISBN 1-58811-028-1/ISBN 90-272-2948-1 (Eur.)
Stochastic - Wikipedia, the free encyclopedia
Stochastic, from the Greek "Στόχος" which means "aim, guess", means of, relating to, or characterized by conjecture and randomness. A stochastic process is one whose behavior ...
Stochastic process - Wikipedia, the free encyclopedia
A stochastic process, or sometimes random process, is the counterpart to a deterministic process (or deterministic system) in probability theory.
Definition: stochastic from Online Medical Dictionary
The Online Medical Dictionary is a searchable dictionary of definitions from medicine, science and technology. ... stochastic. Random or probabilistic event. This entry appears ...
Definition: stochastic processes from Online Medical Dictionary
The Online Medical Dictionary is a searchable dictionary of definitions from medicine, science and technology.
stochastic - Hutchinson encyclopedia article about stochastic
In music, term used to describe a compositional procedure based on probability theory, where the work's inner details are left to chance (a random sequence of notes), the main ...
Stochastic analysis research group
Stochastic analysis is one of the most active and important basic research areas in mathematics. Rooted in probability and measure theory, beginning with the fundamental work of ...
Stochastic Analysis: a TMR project of the EU
Stochastic Analysis and its applications is a project which aims to develop an improved mathematical understanding of random systems and at the same time provide ...
stochastic definition of stochastic in the Free Online Encyclopedia.
Stochastic modeling was used to predict nitrogen dioxide and fine particles [particles collected with an upper 50% cut point of 2.
Home - Modigliani stochastic simulator
The Modigliani simulation framework allows to simulate Markov, Langevin and Determinstic models of ion channels in compartementalised neurons and networks of neurons using fast ...
AskOxford: stochastic
stochastic /st kas tik/ • adjective having a random probability distribution or pattern that can be analysed statistically but not predicted precisely.
