Probability distribution

The negative-binomial sum is an extension of a geometric sum. It has been arisen from the necessity to resolve practical problems in telecommunications, network analysis, stochastic finance and insurance mathematics, etc. Up to the present, the topics related to negative-binomial sums like asymptotic distributions and rates of convergence have been investigated by many mathematicians. However, in a lot of various situations, the results concerned the rates of convergence for negative-binomial sums are still restrictive.

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After studying this chapter you will be able to: Introduction to statistics, methods for describing data, probability, discrete probability distributions, the normal probability distribution, confidence interval, hypothesis testing.

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The object (for students) in this course is: To learn how to interpret statistical summaries appearing in journals, newspaper reports, internet, television, etc; to learn about the concepts of probability and probabilistic reasoning; to understand variability and analyze sampling distribution; to learn how to interpret and analyze data arising in your own work (course work or research).

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This work considers the generation of ordinary differential equations whose solutions are the probability functions of wrapped exponential distribution. This will help in understanding the nature of exponential distribution when wrapped in a circle.

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A Bayesian approach with frequentist validity has been developed to support inferences derived from a BLevel A^ in vivo-in vitro correlation (IVIVC). Irrespective of whether the in vivo data reflect in vivo dissolution or absorption, the IVIVC is typically assessed using a linear regression model. Confidence intervals are generally used to describe the uncertainty around the model. While the confidence intervals can describe population-level variability, it does not address the individual-level variability.

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Lecture "Probability & statistics - Chapter 5: Discrete probability" has contents: Random variable, probability distribution, expected value, variance – standard deviation, bivariate probability, binomial distribution.

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Lecture "Probability & statistics - Chapter 6: Continuous probability" has contents: Continuous random variable, density function, parameter, uniform distribution, normal distribution, cutoff point. Invite you to consult the content.

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Lecture "Probability & statistics - Chapter 7: Sampling" has contents: Sampling, sampling distribution, point estimate, acceptance interval, random sample, sampling distribution, acceptance interval.

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Thesis with the aim of focusing on two main issues. The first is time series modeling by states in which each state is a deterministic probability distribution (normal distribution). Based on the experimental results to assess the suitability of the model. Second, combine Markov chains and fuzzy time series into new models to improve forecast accuracy. Expand the model with high-level Markov chains to be compatible with seasonal data.

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This paper introduces a probabilistic relational database model, called PRDB, for representing and querying uncertain information of objects in practice. To develop the PRDB model, first, we represent the relational attribute value as a pair of probabilistic distributions on a set for modeling the possibility that the attribute can take one of the values of the set with a probability belonging to the interval which is inferred from the pair of probabilistic distributions

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Chương 3 - Các quy luật phân phối xác suất thông dụng. Chương này cung cấp cho người học kiến thức về quy luật phân phối liên tục (Continuous probability distributions) như: Phân phối chuẩn, phân phối khi bình phương, phân phối student, phân phối fisher. Mời các bạn cùng tham khảo.

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Chương 3 - Các quy luật phân phối xác suất thông dụng. Chương này trình bày các nội dung về quy luật phân phối rời rạc (Descrete probability distributions) như: Phân phối nhị thức (Binomial), phân phối siêu bội, phân phối Poisson. Mời các bạn cùng tham khảo.

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Bài giảng "Nhập môn trí tuệ nhân tạo - Chương 6: Mạng Bayes" trình bày các nội dung: Giới thiệu mạng Bayes, phân bố xác suất, một số luật phân bố xác suất, the joint probability distribution, using a bayesian network example,... Mời các bạn tham khảo.

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Chapter 5 - Discrete random variables. After mastering the material in this chapter, you will be able to: Explain the difference between a discrete random variable and a continuous random variable, find a discrete probability distribution and compute its mean and standard deviation, use the binomial distribution to compute probabilities,...

12p whocare_b 05-09-2016 63 2   Download

Chapter 6 - Continuous random variables. After mastering the material in this chapter, you will be able to: Define a continuous probability distribution and explain how it is used, use the uniform distribution to compute probabilities, describe the properties of the normal distribution and use a cumulative normal table, use the normal distribution to compute probabilities,...

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The main purposes of this study are: To estimate the wage regression in Vietnam, To examine the existence of gender and urban/rural wage gap, and to decompose these wage gaps to clarify whether there are wage discrimination in Vietnam throughout the wage distribution.

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Lectures "Applied statistics for business - Chapter 5: Discrete probability distributions" provides students with the knowledge: Random variables, developing discrete probability distributions, expected value and variance, expected value and variance financial portfolios,... Invite you to refer to the disclosures.

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The lecture "Applied statistics for business" provides students with the knowledge: Introduction to the Course, Course Materials, requirements for Students, Main Contents. Invite you to refer to the disclosures.

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Palytoxin is a marine toxin first isolated from zoanthids (genusPalythoa), even though dinoflagellates of the genusOstreopsisare the most probable origin of the toxin.Ostreopsishas a wide distribution in tropical and sub-tropical areas, but recently these dinoflagellates have also started to appear in the Mediterranean Sea.

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Simulation allows the repeated solution of an evaluation model. Each solution randomly selects values from predetermined probability distributions. All solutions are summarized into an overall distribution of NPV values. This distribution shows management how risky the project is.

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