二维正态分布联合密度f(x,y)=(1/2π)e^-(x^2-xy+y^2/2),求关于y的边缘密度函数
\u6025\u6c42\u6570\u5b66\u9ad8\u624b\u4e8c\u7ef4\u6b63\u6001\u5206\u5e03\u8054\u5408\u5bc6\u5ea6f(x,y)=\uff081/2\u03c0\uff09e^-(x^2-xy+y^2/2)\uff0c\u6c42\u5173\u4e8ey\u7684\u8fb9\u7f18\u5bc6\u5ea6\u51fd\u65701/(2*sqrt(pi))*exp(-1/4*y^2)
\u89e3\u7b54\u5982\u56fe\u3002
绛旓細1/(2*sqrt(pi))*exp(-1/4*y^2)
绛旓細姹倅鐨勮竟缂樺瘑搴﹀氨鏄x鍙-鈭炲埌+鈭 鍘粁姹傜Н鍒 寰楀埌鐨勫惈鏈墆鐨勫紡瀛愬氨鏄痽鐨勮竟缂瀵嗗害 杩欓亾棰樺簲璇ヤ笉璐熻矗 e^杩欑被绉垎寰堝ソ姹 鎶妝褰撳父鏁板氨琛屼簡
绛旓細f(x,y)=锛1/32蟺锛塭^{(-25/32)[x^2/16-3xy/50+y^2/25]}
绛旓細鍏堟牴鎹畑y鐨勪簩缁村垎甯冪殑鏍囧噯褰㈠紡鍒嗗埆姹倄涓巠鐨勫垎甯冿紙鍒濇浼拌x涓巠搴旇鏄嫭绔嬬殑锛夌劧鍚庢眰x2涓巠2鐨鍒嗗竷 鐢变簬x涓巠鐙珛锛寈2涓巠2涔熺嫭绔嬶紝灏卞彲姹倆~N(锛夌殑鏈熸湜鍜屾柟宸簡锛岀劧鍚庡啓浣滄鐜瀵嗗害鍗冲彲銆傛湜閲囩撼
绛旓細y)dx锛屽嵆鑱斿悎姒傜巼瀵嗗害鍑芥暟瀵逛簬x鍦-鈭炲埌+鈭炰笂鐨勭Н鍒嗭紒鈶姝f佸垎甯鐨勬鐜囧瘑搴﹀嚱鏁版槸p(x)={1/[蟽鈭(2蟺)]} * e^{-(x-u)²/(2蟽²)}锛屾鏃禭~N(u, 蟽²)鈶㈠洜涓f(y)={1/[鈭2*鈭(2蟺)]} * e^{-x²/[2(鈭2)²]}锛屽鐓р憽锛屽彲鐭~N(0,2)...
绛旓細涔熸槸姝f佸垎甯冦備袱涓嫭绔嬫鎬佸垎甯冮殢鏈哄彉閲忕殑鑱斿悎鍒嗗竷鏄浜岀淮姝f佸垎甯冿紝鑰屼簩缁存鎬佸垎甯冪殑闅忔満鍚戦噺鐨勭嚎鎬х粍鍚堣繕渚濈劧鏈嶄粠姝f佸垎甯冦傛湁闄愪釜鐩镐簰鐙珛鐨勬鎬侀殢鏈哄彉閲忕殑绾挎х粍鍚堜粛鐒舵湇浠庢鎬佸垎甯冦傛鎬佹洸绾垮憟閽熷瀷锛屼袱澶翠綆锛屼腑闂撮珮锛屽乏鍙冲绉板洜鍏舵洸绾垮憟閽熷舰锛屽洜姝や汉浠張缁忓父绉颁箣涓洪挓褰㈡洸绾裤傞泦涓э細姝f佹洸绾跨殑楂樺嘲...
绛旓細浜岀淮姝f佸垎甯 濡傛灉X--N锛坲锛屜僞2锛 Y--N(a,b^2)锛圶锛孻锛夌殑鑱斿悎姒傜巼瀵嗗害鏄 f(x,y)=[ 1/2蟺蟽b鈭(1-蟻^2)]e^{ -1/2(1-蟻^2) [(x-u)^2/蟽^2 - 2蟻(x-u)(x-a)/ua +(y-a)^2/b^2]} 甯﹀叆 u=0 a=o 蟽^2=3 b^2=4 蟻=0.25 f(x,...
绛旓細鐒跺悗锛屽浜浜岀淮瀵规暟姝f佸垎甯锛屾垜浠湁闅忔満鍚戦噺 (X, Y)锛屽畠浠湪瀵规暟鍙樻崲鍚庢槸姝f佸垎甯冪殑銆備篃灏辨槸璇达紝濡傛灉鎴戜滑璁 Z = ln(X) 鍜 W = ln(Y)锛岄偅涔 Z 鍜 W 閮芥湇浠庢鎬佸垎甯冦傚亣璁 Z 鍜 W 鐨鑱斿悎姒傜巼瀵嗗害鍑芥暟涓 f(z, w)锛岄偅涔 (X, Y) 鐨勮仈鍚堟鐜囧瘑搴﹀嚱鏁板彲浠ヨ〃绀轰负锛f(x, y) = f(z...
绛旓細濡傛灉灏浜岀淮闅忔満鍙橀噺(X,Y)鐪嬫垚鏄钩闈笂闅忔満鐐圭殑鍧愭爣锛岄偅涔堝垎甯冨嚱鏁F(x,y)鍦(x,y)澶勭殑鍑芥暟鍊煎氨鏄殢鏈虹偣(X,Y)钀藉湪浠ョ偣(x,y)涓洪《鐐硅屼綅浜庤鐐瑰乏涓嬫柟鐨勬棤绌风煩褰㈠煙鍐呯殑姒傜巼銆傚湪姒傜巼璁轰腑, 瀵逛袱涓殢鏈哄彉閲廥鍜孻锛屽叾鑱斿悎鍒嗗竷鏄悓鏃跺浜嶺鍜孻鐨勬鐜囧垎甯冦
绛旓細棣栧厛锛岀悊瑙d簩缁存鎬佸垎甯冪殑鍏抽敭鍦ㄤ簬鍏朵赴瀵岀殑鍙傛暟銆傛诲叡娑夊強鍒板洓涓弬鏁帮紝鍖呮嫭涓や釜鍧囧硷紙渭1鍜屛2锛夊拰涓や釜鍗忔柟宸紙蟽12鍜屜1²銆佅2²锛夈傝鎴戜滑浠ュ叕寮忕殑褰㈠紡鏉ユ弿杩拌繖涓垎甯冨嚱鏁帮細瀵逛簬浜岀淮姝f佸垎甯冿紝鍏鑱斿悎姒傜巼瀵嗗害鍑芥暟锛圝oint Probability Density Function, PDF锛夊彲浠ヨ〃杈句负:PDF( x1, x2)...