姹夎瘧鑻?/p>
Population
鎬讳綋锛屾牱鏈�讳綋
sample
鏍锋湰锛屾爣鏈?/p>
parameter
闄愬埗鍥犵礌
median
涓綅鏁?/p>
odd
濂囨暟锛屽崟鏁?/p>
even
鍋舵暟
range
鏋佸樊
variance
鏂瑰樊
standard
deviation
鏍囧噯宸?/p>
Covariance
鍗忔柟宸?/p>
empty event
绌轰簨浠?/p>
product event
绉簨浠?/p>
conditional probability
鏉′欢姒傜巼
Random variable
闅忔満鍙橀噺
binominal distribution
浜岄」寮忓垎甯?/p>
uniform distribution
鍧囧寑鍒嗗竷
Poisson distribution
娉婃澗鍒嗗竷
residual
娈嬪樊
central
limit theorem
涓績鏋侀檺瀹氬緥
鑻辫瘧姹?/p>
descriptive
statistics
鎻忚堪缁熻瀛?/p>
mathematical
statistics
鏁扮悊缁熻瀛?/p>
inductive statistics
褰掔撼缁熻瀛?/p>
Inferential statistics
鎺ㄦ柇缁熻瀛?/p>
dimension
缁达紝缁存暟
continuous variable
杩炵画鍙橀噺
ordinal
variable
鏈夊簭鍙橀噺
nominal variable
鍚嶄箟鍙橀噺
dichotomous
涓ゅ垎鐨勶紱浜屾鐨?/p>
discrete variable
绂绘暎鍙橀噺
categorical variable
鍒嗙被鍙橀噺
location
瀹氫綅锛屼綅缃紝鍦烘墍
dispersion
鍒嗘暎
mean
鍧囧�?/p>
unimodal
鍗曞嘲鐨?/p>
multimodal
澶氬嘲鐨?/p>
chaotic
鏃犵З搴忕殑
grouped data
鍒嗙粍鏁版嵁
frequency distribution
棰戞暟鍒嗗竷
cumulative frequency
绱姞棰戞暟
tallying
璁＄畻
Uniformly distribution
鍧囧寑鍒嗗竷
histogram
鐩存柟鍥?/p>
frequency polygon
棰戠巼澶氳竟鍥?/p>
rectangle
鐭╁舰
Percentile
鐧惧垎浣嶆暟
quartile
鍥涘垎浣嶆暟
interquartile
range
鍥涘垎浣嶆暟闂磋窛
simple event
绠�鍗曚簨浠?/p>
Compound event
澶嶅悎浜嬩欢
mutually exclusive
浜掓枼鐨勶紝浜掕ˉ鐩镐氦鐨?/p>
complementary event
瀵圭珛浜嬩欢
Independent
鐙珛鐨?/p>
joint probability function
鑱斿悎姒傜巼鍑芥暟
jacobian
闆呭厠姣旇鍒楀紡
Law of large numbers
澶ф暟瀹氬緥
point estimate
鐐逛及璁?/p>
estimate
浼拌鍊?/p>
statistic
缁熻閲?/p>
optimality
鏈�浼樻�?/p>
Unbiased estimate
鏃犲亸浼拌閲?/p>
efficient estimate
鏈夊亸浼拌閲?/p>
unbiasedness
鏃犲亸鎬?/p>
efficience
鏈夋晥鎬?/p>
Consistent estimate
涓�鑷翠及璁￠噺
asymptotic properties
娓愯繎鎬ц川
Confidence interval
缃俊鍖洪棿
interval estimation
鍖洪棿浼拌
null hypothesis
鍘熷亣璁?/p>
alternative hypothesis
澶囨嫨鍋囪
significance level
鏄捐憲鎬ф按骞?/p>
power function
骞傚嚱鏁?/p>
testing
procedures
妫�楠屾柟娉?/p>
test statistic
妫�楠岀粺璁￠噺
rejection region
鎷掔粷鍖哄煙
acceptance region
鎺ュ彈鍖哄煙
critical region
涓寸晫鍖哄煙
first-derivatives
涓�闃跺鏁?/p>
second-derivatives
浜岄樁瀵兼暟
Likelihood ratio
浼肩劧姣?/p>
dependent variable
鍥犲彉閲?/p>
unexplanatory variable
鏈В閲婂彉閲?/p>
independent variable
鑷彉閲?/p>
Error term
璇樊椤?/p>
regression coefficients
鍥炲綊绯绘暟
Sum of squared residuals
娈嬪樊骞虫柟鍜?/p>
Marginal probability function
杈归檯姒傜巼鍑芥暟
joint probability density function
鑱斿悎姒傜巼瀵嗗害鍑芥暟
Marginal probability density function
杈归檯姒傜巼瀵嗗害鍑芥暟
stochastically independent
闅忔満鐙珛鐨?/p>
Mutually independently distribution
鐩镐簰鐙珛鐨勫垎甯?/p>
independently and identically distribution
鐙珛鍚屽垎甯冪殑
likelihood function
浼肩劧鍑芥暟
maximum likelihood estimator
鏈�澶т技鐒朵及璁￠噺
maximum likelihood estimate
鏈�澶т技鐒朵及璁″�?/p>
log-likelihood function
瀵规暟浼肩劧鍑芥暟
ordinary least squares estimation/estimate/estimator
鏅�氭渶灏忎簩涔樹及璁?/p>
/
浼拌鍊?/p>
/
浼拌閲?/p>
linear unbiased estimator
绾挎�ф棤鍋忎及璁?/p>