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Probability and statistics
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Bài giảng Xác suất thống kê có kết cấu gồm 2 phần. Trong đó phần 1 gồm 5 chương trình bày về biến cố ngẫu nhiên và xác suất, biến ngẫu nhiên, một số quy luật phân phối sác xuất của biến ngẫu nhiên, biến ngẫu nhiên nhiều chiều, luật số lớn - các định lý giới hạn; Phần 2 gồm 3 chương giới thiệu về cơ sở lý thuyết mẫu, ước lượng tham số, kiểm định giả thuyết thống kê. Mời các bạn cùng tham khảo.
61p
perfect291
17-09-2014
279
42
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Lectures "Applied statistics for business - Chapter 4: Introduction to probability" provides students with the knowledge: Experiments, counting rules and assigning probabilities, events and their probabilities, some basic relationships of probability, conditional probability, bayes’ theorem. Invite you to refer to the disclosures.
34p
doinhugiobay_13
26-01-2016
75
3
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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.
34p
doinhugiobay_13
26-01-2016
53
3
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Lecture Monte carlo simulations: Application to lattice models, part I - Basics. The main contents of this chapter include all of the following: Introduction, thermodynamics and statistical mechanics, phase transition, probability theory.
32p
whocare_d
22-09-2016
63
7
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Lecture "Probability & statistics - Chapter 1: Intruction" has contents: Statistics is the fact, statistics, branches of statistics, data sources, population and sample, types of variable types of variable,... Invite you to consult the content.
21p
abcxyz123_07
19-03-2020
40
4
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Objective of the research: The research objective of the thesis is to establish some limit theorems regarding the forms of law of large numbers for sequences and arrays of measurable operators under different conditions.
22p
prisonbreak123
21-05-2021
29
2
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"Đề cương chi tiết học phần Xác suất thống kê (Probability and Statistics) bậc đại học" cung cấp các thông tin như thời gian, điều kiện tiên quyết, kiến thức, mô tả tóm tắt nội dung, các kỹ năng và yêu cầu mà sinh cần đạt được.
7p
hoangcanhminh_111191
23-12-2020
45
3
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Mời các bạn cùng tham khảo "Đề cương chi tiết học phần Xác suất thống kê (Probability and Statistics)" để nắm chi tiết thời gian, tóm tắt nội dung, thang điểm, các thang điểm để có phương pháp học tập chủ động và hiệu quả.
7p
hoangcanhminh_111191
23-12-2020
32
2
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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).
6p
koxih_kothogmih1
03-08-2020
26
2
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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.
16p
caothientrangnguyen
09-05-2020
39
2
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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
69
3
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Chapter 4 - Probability. After completing this unit, you should be able to: Define a probability and a sample space, list the outcomes in a sample space and use the list to compute probabilities, use elementary probability rules to compute probabilities, compute conditional probabilities and assess independence,...
11p
whocare_b
05-09-2016
41
1
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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,...
15p
whocare_b
05-09-2016
60
2
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Chapter 9 - Hypothesis testing. After mastering the material in this chapter, you will be able to: Set Up appropriate null and alternative hypotheses, describe Type I and Type II errors and their probabilities, use critical values and p-values to perform a z test about a population mean when s is known,...
12p
whocare_b
05-09-2016
57
2
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Chapter 19 - Decision theory. After studying this chapter you will be able to: Make decisions under uncertainty and under risk and assess the value of perfect information, make decisions using posterior analysis and assess the value of sample information, make decisions using utility theory.
8p
whocare_b
05-09-2016
43
2
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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.
28p
change03
06-05-2016
64
4
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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.
8p
doinhugiobay_13
26-01-2016
60
2
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