0
What is the difference between the Monte Carlo method and Latin Hypercube Sampling?
actually montecarlo is based on random selection (of cours randamness is expected to be random means to cover tjhe whole interval so the more the better )along the CDF(cumilative distribution function ) to extract the input that expected to keep the original distribution to some degree.
in latin hypercube this extraction of input has been made uniform along the CDF so we can ensure the recreation of the original distribution in the extracted sample of inputs.
hypercube is enhancement of montecarlo sampling . and it is much better in low density sampling means low number of iteration . high number of iterartion both methodes are good they tend to be the same .
Add your answer:
Earn +20 pts
What sampling method?
Random Sampling
What is the difference between simplex and dual simplex method?
what is difference between regular simplex method and dual simplex method
What is the instantaneous sampling?
Instantaneous sampling is one method used for sampling a continuous time signal into discrete time signal. This method is called as ideal or impulse sampling. In this method, we multiply a impulse function with the continuous time signal to be sampled. The output is instantaneously sampled signal.
Characteristics of sampling method?
characteristics of sample
What is quota sampling method?
This type of sampling method is used when data is gathered by sampling individuals from a certain group. For example, a researcher may ask for a sample of 200 students from an ivy league school as a sample for their survey.
What is the difference between sampling and random sampling?
Sampling involves selecting a subset of individuals or items from a larger population for study. Random sampling is a specific type of sampling method where each individual or item in the population has an equal chance of being selected. In random sampling, the selection of individuals is done purely by chance, reducing bias in the sample.
What difference between Statistical Sampling and non-statistical sampling?
Statistical sampling is an objective approach using probability to make an inference about the population. The method will determine the sample size and the selection criteria of the sample. The reliability or confidence level of this type of sampling relates to the number of times per 100 the sample will represent the larger population. Non-statistical sampling relies on judgment to determine the sampling method,the sample size,and the selection items in the sample.
What sampling method?
Random Sampling
Is convenience sampling method not a random sampling?
You are correct; convenience sampling is not random sampling.
What is the difference between straw polls and the scientific sampling process?
Straw Polls include getting a show of hands or other type of method while scientific sampling process deals with a small group of people representing a large population.
What is the difference between the conventional method of dimensioning and the baseline method of dimensiong?
What is the difference between the conventional method of dimensioning and the baseline method of dimension
Difference between Percentage of Completion method and Completed Contract method?
Difference between Percentage of Completion method and Completed Contract method?
What is the difference between simplex and dual simplex method?
what is difference between regular simplex method and dual simplex method
What are the difference between roster method and rule method?
what is the difference between roster method and rule method
Which one is called non probability sampling a. cluster sampling b.quota sampling c. systematic sampling d. stratified sampling?
Answer is Quota sampling. Its one of the method of non-probability sampling.
What are the reasons for choosing random sampling method for ones research work and what is random sampling method anyway?
because it is the simplest sampling technique which requires less time and cost.
What is the instantaneous sampling?
Instantaneous sampling is one method used for sampling a continuous time signal into discrete time signal. This method is called as ideal or impulse sampling. In this method, we multiply a impulse function with the continuous time signal to be sampled. The output is instantaneously sampled signal.
