- 相關(guān)推薦
數(shù)學(xué)畢業(yè)論文-全概率公式的推廣與應(yīng)用
全概率公式的推廣與應(yīng)用
摘要
全概率公式是概率論中的1個(gè)重要公式，本文對(duì)此公式進(jìn)行若干推廣，并對(duì)此公式在概率計(jì)算、邊際分布計(jì)算以及遞推公式的建立等方面的應(yīng)用進(jìn)行了1些探討。本文主要介紹了全概率公式的7種推廣，以及全概率公式在3個(gè)方面的應(yīng)用，即有關(guān)古典概率計(jì)算，應(yīng)用于求邊際分布，以及利用其建立遞推關(guān)系的問(wèn)題。關(guān)于全概率公式的推廣與應(yīng)用遠(yuǎn)遠(yuǎn)不止這些，本文只是從他的某些方面做了1個(gè)概括，總的說(shuō)來(lái)，全概率公式是概率當(dāng)中1個(gè)非常重要而且實(shí)用的1個(gè)公式，能夠在我們的生產(chǎn)實(shí)際中發(fā)揮著舉足輕重的作
用。
關(guān)鍵詞：馬爾可夫鏈，首步分析法 ，貝葉斯公式
Popularization and application of the
Total probability formula
Abstract
The Total probability formula is an important formula in the probability theory , this text carries on several popularization to this formula, and until probability calculate, margin distribute calculate and foundation of recurrence formula application of carry on some discussions to formula this. This text has mainly introduced seven kinds of popularization of the total probability formula , and the total application in three aspects of probability formula, i.e. relevant classical probability calculate, apply to, ask margin distribute , utilize it establish , pass , push away issue of relation. About the total probability popularization and employ , far above these far of formula, this text make one summarize from some respect of him just, generally speaking, the total probability formula one very important and practical formula among the probability, can play a very important role in our production reality .
Keywords：Markov chain, the analytic approach of the first step , Bayes formula
目 錄
中文標(biāo)題---------------------------------------------------------------------1
中文摘要、關(guān)鍵詞--------------------------------------------------------------1
英文標(biāo)題---------------------------------------------------------------------1
英文摘要、關(guān)鍵詞--------------------------------------------------------------2
前言-------------------------------------------------------------------------3
正文-------------------------------------------------------------------------4
1 基本概念和定理--------------------------------------------------------------4
2 隔項(xiàng)比值判別法--------------------------------------------------------------5
3 以調(diào)和級(jí)數(shù)為比較對(duì)象的比較判別法---------------------------------------------11
4 阿貝爾判別法的推廣----------------------------------------------------------13
5 函數(shù)判別法-----------------------------------------------------------------15
6 結(jié)束語(yǔ)---------------------------------------------------------------------18
參考文獻(xiàn)---------------------------------------------------------------------19
致謝-------------------------------------------------------------------------20
【包括：畢業(yè)論文、任務(wù)書(shū)】
【說(shuō)明：論文中有些數(shù)學(xué)符號(hào)是編輯器編輯而成，網(wǎng)頁(yè)上無(wú)法顯示或者顯示格式錯(cuò)誤，給您帶來(lái)不便請(qǐng)諒解。】
【數(shù)學(xué)畢業(yè)論文-全概率公式的推廣與應(yīng)用】相關(guān)文章：
全概率公式的推廣與應(yīng)用03-07
數(shù)學(xué)畢業(yè)論文-切比雪夫不等式的推廣與應(yīng)用03-04
數(shù)學(xué)畢業(yè)論文-數(shù)學(xué)期望的應(yīng)用11-19
數(shù)學(xué)與應(yīng)用數(shù)學(xué)畢業(yè)論文開(kāi)題報(bào)告模板12-06
小概率事件原理及其應(yīng)用03-07
數(shù)學(xué)與應(yīng)用數(shù)學(xué)本科畢業(yè)論文開(kāi)題報(bào)告03-29
數(shù)學(xué)畢業(yè)論文-矩陣分解以及應(yīng)用03-04
淺談小概率事件原理及其應(yīng)用03-07