This HTML5 document contains 112 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
dbohttp://dbpedia.org/ontology/
foafhttp://xmlns.com/foaf/0.1/
dbpedia-kohttp://ko.dbpedia.org/resource/
n8https://global.dbpedia.org/id/
dbthttp://dbpedia.org/resource/Template:
rdfshttp://www.w3.org/2000/01/rdf-schema#
freebasehttp://rdf.freebase.com/ns/
dbpedia-pthttp://pt.dbpedia.org/resource/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
owlhttp://www.w3.org/2002/07/owl#
wikipedia-enhttp://en.wikipedia.org/wiki/
dbphttp://dbpedia.org/property/
dbchttp://dbpedia.org/resource/Category:
provhttp://www.w3.org/ns/prov#
xsdhhttp://www.w3.org/2001/XMLSchema#
wikidatahttp://www.wikidata.org/entity/
goldhttp://purl.org/linguistics/gold/
dbrhttp://dbpedia.org/resource/

Statements

Subject Item
dbr:Price_equation
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
Subject Item
dbr:Sample_mean_and_covariance
rdf:type
owl:Thing dbo:FootballLeagueSeason
rdfs:label
Sample mean and covariance Média e covariância amostrais 표본 평균
rdfs:comment
통계학에서 표본 평균(標本 平均, sample mean) 또는 '표본 평균과 표본 분산'(sample mean and sample covariance)은 표본의 평균과 이에 대한 분산 값이다. The sample mean (or "empirical mean") and the sample covariance are statistics computed from a sample of data on one or more random variables. The sample mean is the average value (or mean value) of a sample of numbers taken from a larger population of numbers, where "population" indicates not number of people but the entirety of relevant data, whether collected or not. A sample of 40 companies' sales from the Fortune 500 might be used for convenience instead of looking at the population, all 500 companies' sales. The sample mean is used as an estimator for the population mean, the average value in the entire population, where the estimate is more likely to be close to the population mean if the sample is large and representative. The reliability of the sample mean is estimated using the s A média amostral ou média empírica e a covariância amostral são cálculos de estatística feitos a partir de uma coleta de dados em uma ou mais variáveis aleatórias. A média amostral é um vetor onde cada um dos elementos é a média da amostra de uma das variáveis aleatórias, ou seja, cada um dos elementos é a média aritmética dos valores observados de uma das variáveis. A matriz da covariância de amostra é quadrada, cujo i, j elemento é a covariância da amostra (uma estimativa da covariância da população ) entre os conjuntos de valores observados de duas das variáveis e cujo i, i elemento é a variância da amostra de valores observados de uma das variáveis . Se apenas uma variável teve valores observados , em seguida, a média da amostra é um único número (a média aritmética dos valores o
rdfs:seeAlso
dbr:Sample_variance
dcterms:subject
dbc:Summary_statistics dbc:U-statistics dbc:Estimation_methods dbc:Matrices dbc:Covariance_and_correlation
dbo:wikiPageID
10005756
dbo:wikiPageRevisionID
1063504049
dbo:wikiPageWikiLink
dbr:Scatter_matrix dbr:Normalizing_constant dbr:Positive_semi-definite_matrix dbr:Variance dbr:Central_limit_theorem dbr:Independence_(probability_theory) dbr:Unbiased_estimator dbc:Summary_statistics dbr:Estimation_of_covariance_matrices dbr:Pseudoreplication dbr:Weighted_mean dbr:Matrix_(mathematics) dbr:Bias_of_an_estimator dbr:Standard_error dbc:U-statistics dbr:Fortune_500 dbr:Sample_(statistics) dbr:Outliers dbr:Probability_distribution dbr:Trimmed_estimator dbr:Trimmed_mean dbr:Estimator dbr:Bessel's_correction dbc:Estimation_methods dbr:Covariance_matrix dbr:Statistical_population dbr:Multivariate_random_variable dbr:Statistical_dispersion dbr:Mean dbr:Random_vector dbr:Normal_distribution dbr:Statistic dbr:Average dbr:Unbiased_estimation_of_standard_deviation dbr:Sample_median dbr:Maximum_likelihood dbr:Quantile dbr:Winsorising dbr:Interquartile_range dbc:Matrices dbr:Covariance dbr:Winsorized_mean dbr:Random_variables dbr:Vector_(mathematics_and_physics) dbr:Robust_statistics dbc:Covariance_and_correlation dbr:Random_variable dbr:Location dbr:Correlation dbr:Realization_(probability) dbr:Gaussian_distribution
owl:sameAs
n8:2DDhY freebase:m.02pzl3m dbpedia-pt:Média_e_covariância_amostrais dbpedia-ko:표본_평균 wikidata:Q2348165
dbp:wikiPageUsesTemplate
dbt:Short_description dbt:Multiple_issues dbt:See_also dbt:More_citations_needed dbt:Further dbt:Main dbt:Math dbt:Authority_control dbt:Technical dbt:Reflist
dbo:abstract
통계학에서 표본 평균(標本 平均, sample mean) 또는 '표본 평균과 표본 분산'(sample mean and sample covariance)은 표본의 평균과 이에 대한 분산 값이다. The sample mean (or "empirical mean") and the sample covariance are statistics computed from a sample of data on one or more random variables. The sample mean is the average value (or mean value) of a sample of numbers taken from a larger population of numbers, where "population" indicates not number of people but the entirety of relevant data, whether collected or not. A sample of 40 companies' sales from the Fortune 500 might be used for convenience instead of looking at the population, all 500 companies' sales. The sample mean is used as an estimator for the population mean, the average value in the entire population, where the estimate is more likely to be close to the population mean if the sample is large and representative. The reliability of the sample mean is estimated using the standard error, which in turn is calculated using the variance of the sample. If the sample is random, the standard error falls with the size of the sample and the sample mean's distribution approaches the normal distribution as the sample size increases. The term "sample mean" can also be used to refer to a vector of average values when the statistician is looking at the values of several variables in the sample, e.g. the sales, profits, and employees of a sample of Fortune 500 companies. In this case, there is not just a sample variance for each variable but a sample variance-covariance matrix (or simply covariance matrix) showing also the relationship between each pair of variables. This would be a 3×3 matrix when 3 variables are being considered. The sample covariance is useful in judging the reliability of the sample means as estimators and is also useful as an estimate of the population covariance matrix. Due to their ease of calculation and other desirable characteristics, the sample mean and sample covariance are widely used in statistics to represent the location and dispersion of the distribution of values in the sample, and to estimate the values for the population. A média amostral ou média empírica e a covariância amostral são cálculos de estatística feitos a partir de uma coleta de dados em uma ou mais variáveis aleatórias. A média amostral é um vetor onde cada um dos elementos é a média da amostra de uma das variáveis aleatórias, ou seja, cada um dos elementos é a média aritmética dos valores observados de uma das variáveis. A matriz da covariância de amostra é quadrada, cujo i, j elemento é a covariância da amostra (uma estimativa da covariância da população ) entre os conjuntos de valores observados de duas das variáveis e cujo i, i elemento é a variância da amostra de valores observados de uma das variáveis . Se apenas uma variável teve valores observados , em seguida, a média da amostra é um único número (a média aritmética dos valores observados para a variável) e a matriz da covariância de amostra é simplesmente um único valor (a variância da amostra de valores observados de que variável).
gold:hypernym
dbr:Statistics
prov:wasDerivedFrom
wikipedia-en:Sample_mean_and_covariance?oldid=1063504049&ns=0
dbo:wikiPageLength
13590
foaf:isPrimaryTopicOf
wikipedia-en:Sample_mean_and_covariance
Subject Item
dbr:Sample_mean_and_sample_covariance
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
dbo:wikiPageRedirects
dbr:Sample_mean_and_covariance
Subject Item
dbr:Decile
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
Subject Item
dbr:Estimation_of_covariance_matrices
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
Subject Item
dbr:Glossary_of_probability_and_statistics
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
Subject Item
dbr:Arithmetic_mean
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
Subject Item
dbr:Simple_linear_regression
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
Subject Item
dbr:Sample_mean
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
dbo:wikiPageRedirects
dbr:Sample_mean_and_covariance
Subject Item
dbr:Empirical_mean
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
dbo:wikiPageRedirects
dbr:Sample_mean_and_covariance
Subject Item
dbr:List_of_statistics_articles
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
Subject Item
dbr:Resampled_efficient_frontier
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
Subject Item
dbr:Sample_covariance_matrix
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
dbo:wikiPageRedirects
dbr:Sample_mean_and_covariance
Subject Item
dbr:Weighted_covariance_matrix
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
dbo:wikiPageRedirects
dbr:Sample_mean_and_covariance
Subject Item
dbr:Weighted_sample
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
dbo:wikiPageRedirects
dbr:Sample_mean_and_covariance
Subject Item
dbr:Sample_covariance
dbo:wikiPageWikiLink
dbr:Sample_mean_and_covariance
dbo:wikiPageRedirects
dbr:Sample_mean_and_covariance
Subject Item
wikipedia-en:Sample_mean_and_covariance
foaf:primaryTopic
dbr:Sample_mean_and_covariance