Some notes on conditional probability
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Abstract
Conditional probability is one of the basic contents of the Probability Theory. This paper analyzes limitations in some approaches to the common conditional probability. Especially, it offers a simulation for the conditional probability formula in general (the primary events are not necessarily of the same ability and the number of primary events is not necessarily finite).
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Keywords
conditional probability formula, classical model, the same ability
References
[2]. W. Feller (1971), An introduction to probability theory and its applications, volume I, third edition, John Wiley and Sons, New York.
[3]. M. Loève (1977), Probability Theory I, 4th edition, Springer - Verlag.
[4]. Sheldon M. Ross (2004), Introduction to probability and statistics for engineers and scientists, third edition, Elsevier Academic press.
[5]. Đỗ Đức Thái, Nguyễn Tiến Dũng (2010), Nhập môn hiện đại xác suất và thống kê, NXB Đại học Sư phạm Hà Nội.
[6]. Đặng Hùng Thắng (2009), Mở đầu về lí thuyết xác suất, NXB Giáo Dục.
[7]. Nguyễn Bác Văn (1997), Mở đầu thống kê xác suất, NXB Giáo Dục.
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