Nghĩa của từ probability distribution bằng Tiếng Việt

@Probability distribution
- (Econ) Phân phối xác suất
@Chuyên ngành kinh tế
-phân phối xác suất
@Chuyên ngành kỹ thuật
-hàm phân bố
-mật độ xác suất
-sự phân bố xác suất
@Lĩnh vực: toán & tin
-phân bố xác suất
-phân phối xác suất
@Lĩnh vực: điện tử & viễn thông
-sự phân phối thống kê

Đặt câu có từ "probability distribution"

1. In probability theory and statistics, the zeta distribution is a discrete probability distribution.

Trong lý thuyết xác suất và thống kê, Phân phối Poisson (phân phối Poa-xông) là một phân phối xác suất rời rạc.

2. Adaptive predistorter based on the probability distribution function of the output amplitude

3. The information entropy of a probability distribution dF(x) can only be computed with respect to some other probability distribution (or, more generally, a positive measure), and both measures must be mutually absolutely continuous.

4. A Gaussian process can be used as a prior probability distribution over functions in Bayesian inference.

5. The peak of the wave celerity probability distribution appears mean velocity region of the two - phase flow.

6. Executive summary A Bayesian network is a representation of a joint probability distribution of a set of randomvariableswithapossiblemutualcausalrelationship

7. In the Bayesian approach, the data are supplemented with additional information in the form of a prior probability distribution.

8. The Binned probability distribution is a summary of all of the data for pixel mass from a box count

9. The probability distribution of a Binomial random variable is called a Binomial distribution (It is also known as a Bernoulli distribution).

10. Bayesian inference is therefore just the process of deducing properties about a population or probability distribution from data using Bayes’ theorem

11. A new classifier is formed (86) from the naive Bayes classifier, the joint probability distribution, and the prior-odds probability ratio.

12. If there is no inherent reason to prefer one prior probability distribution over another, a conjugate prior is sometimes chosen for simplicity.

13. The end product of our analysis is a probability distribution that can be used as a Bayesian prior when analyzing a new data set.

14. In the hierarchical analysis, the prior probability distribution of parameters for the cross-population variation in steepness is determined through a concise model structure.

15. This paper infers the probability distribution function of the overvoltage in transmission lines in ungrounded system, when the single phase is grounded at the first arcing over.

16. The Bernoulli distribution is the discrete probability distribution of a random variable which takes a binary, boolean output: 1 with probability p, and 0 with probability (1-p)

17. The Binomial distribution is a probability distribution that summarizes the likelihood that a value will take one of two independent values under a given set of parameters or assumptions.

18. He then shows how this idea can be used to generate the universal a priori probability distribution and how it enables the use of Bayes rule in inductive inference.

19. If we apply the Binomial probability formula, or a calculator's Binomial probability distribution (PDF) function, to all possible values of X for 7 trials, we can construct a complete Binomial distribution table

20. A lattice model Assumes the price of stock underlying an option follows a binomial distribution, a type of probability distribution in which the underlying event has only one of two possible outcomes

21. A Contestant With The Maternamber Of Quee With Before Each One New Teplooid Et Rondom One Of The Aboven Is It Appropriate To Use The Binomial Probability Distribution To Find The Probability That

22. You know what, get us a layout of the crime scene, and we can run an a priori probability distribution search, which won't tell you where the shoe was picked up, but it will give you search zones.

23. Bernoulli distribution is a discrete probability distribution, meaning it’s concerned with discrete random variables. A discrete random variable is one that has a finite or countable number of possible values—the number of heads you get when tossing three coins at once, or the number of students in a class.

24. Abducing Through Negation as Failure 2 probabilistic Horn abduction [19], which showed how a combination of inde-pendent probabilistic hypotheses and a restricted acyclic logic program (without negation as failure) that gives the consequences of the choices, can represent any probability distribution in much the same way as do Bayesian networks

25. In statistics, a Bimodal distribution is a probability distribution with two different modes, which may also be referred to as a Bimodal distribution.These appear as distinct peaks (local maxima) in the probability density function, as shown in Figures 1 and 2.Categorical, continuous, and discrete data can all form Bimodal distributions [citation needed].