淺談 sdvsvsdav 心智扭曲及亞氏保加症治療方法

六壬數就冇學，六壬法科寫符嗰啲就學梗，夠晒 we wun wun

因為玄學本來有啲 area 就唔係統計學，而係真正神秘學，預測準當中點都涉及鬼神，現代未知科學啲嚟講就係利用繞場

好似奇門占卜咁，用當前時間起盤就即刻可以對當時人問事，就已經唔符合統計學，亦唔係現今科學解釋到

至於時空點解會對應到一個盤嘅訊息，𠵱個就係未知嘅地方

我判樓主贏

又拋書包啦, 真係讀書讀懵咗

你 stat 都係讀到一舊屎嚟, 請簡單解釋 I-optimal design, G-optimal design, A-optimal design 同埋 D-optimal design 分別?

econometrics 扮 stat degree 為乜, 俾人問到 Bayesian 嘢, Experimental design, Survey sampling 就露曬底

成個 post 都係以你為中心展開, 小妹充其量只係一個旁白

econometrics 有冇讀 structural equation modelling?

呵呵
你係唔係好唔忿氣呀ACG 失業毒撚

之前post 過
https://lih.kg/bojyCOV

https://pdfhost.io/v/~KM~gfhas_notes1
呢D 係pg econ基本野黎
唔知你又識唔識呢

連 anova 都唔熟, 點解可以大言不慚話自己熟 statistics

https://en.wikipedia.org/wiki/Structural_equation_modeling
你條傻鳩自稱熟 causal inference 但冇讀過 SEM 係咩玩法? 好似篤爆咗其實你唔識 causal inference, 但成日喺人地 post 度扮高手

我確實係讀Stat master 呵呵

Experimental design?
https://www.amazon.com/-/zh_TW/Guido-W-Imbens/dp/0521885884/ref=sr_1_1?crid=3QZB4X6FTXFUJ&keywords=imben&qid=1657944573&sprefix=imben%2Caps%2C374&sr=8-1&asin=0521885884&revisionId=&format=4&depth=1
Imbens 係econometricians 黎
啱啱先攞左nobel prize

你知唔知anova model好大程度上只係linear model 既special case黎
http://users.stat.umn.edu/~helwig/notes/aov2-Notes.pdf p.7

你d basic stat 底好差下

傻鳩 sdv 柒完一次仲未夠, 基本數學嘢都未讀好

你只唔只咩係rubin's potential outcome framework
[url]https://en.wikipedia.org/wiki/Rubin_causal_model
[/url]

你講既Structural equation model係另一樣野黎
其實我我常用Structural equation model 去分析survey data
呵呵

只知

又開始離題借機拋書包啦, 睇嚟你真係冇讀過 DoE
https://www.taylorfrancis.com/books/mono/10.4324/9781315642956/designing-experiments-analyzing-data-scott-maxwell-harold-delaney-ken-kelley
成本抄曬佢柒頭皮

Special case 唔代表你識 linear model = 識 anova. 就係因為 special case 先有更多情況係 general case 唔 care 嘅.
咁講吓 anova, type 5 sum-of-squares 同 type 4 sum-of-squares 分別喺邊?
試解釋吓 orthogonal contrast 同 dummy 嘅分別?

張六常柒野集合
有冇比以下更柒既野好想知好想知

https://lihkg.com/thread/2570146/page/2
DCF valuation 冇formal justification

https://lihkg.com/thread/3065440/page/7
ols estimator 冇計到inverse
linear regression 一定唔駛用gradient descent

causal inference 係structural equation model

仲有冇仲有冇

離題?
你睇下本書個目錄先啦

真係基本野黎
那
比個機會你
試下搵錯處
本書pdf 好易download到

其實你知唔知 SEM 係咩嚟, SEM 本身 incorporates 咗 researcher 嘅 causal assumptions, 當然係 causal inference 嘅一部份. 更多關於 causality 同埋 SEM 嘅關係同誤解可以睇 "Eight Myths About Causality and Structural Equation Models", 但好明顯某條 sdvsvsdav 對於 causal inference 學識過於淺窄, 佢以為 SEM 同 causal 冇關係.