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Publikováno v:
Huitzil, Vol 15, Iss 2, Pp 64-81 (2015)
In this study we assess the bias in estimates of bird richness in a tropical wetland. We used 18 months of data from point counts to estimate the species richness in a coastal lagoon in Oaxaca and computed eight species richness estimators. We evalua
Autor:
Berger, Yves G., Skinner, Chris J.
Publikováno v:
Journal of the Royal Statistical Society. Series B (Statistical Methodology), 2005 Jan 01. 67(1), 79-89.
Externí odkaz:
https://www.jstor.org/stable/3647601
Publikováno v:
Econometrics, Vol 9, Iss 4, p 42 (2021)
Obesity, as a health and social problem with rising prevalence and soaring economic cost, is increasingly drawing scholarly and public policy attention. While many studies have suggested that infant breastfeeding protects against childhood obesity, e
Externí odkaz:
https://doaj.org/article/57369bda02a0431691e703174b713633
Publikováno v:
The Annals of Statistics, 2002 Dec 01. 30(6), 1782-1810.
Externí odkaz:
https://www.jstor.org/stable/1558740
Autor:
McKinley L. Blackburn
Publikováno v:
Econometrics and Statistics. 23:1-18
Statistical applications often involve a comparison of coefficients across two different nested linear regression specifications. However, these comparisons are rarely accompanied by a hypothesis test for the coefficients being equal. Standard specif
Autor:
Song, Hae Hiang
Publikováno v:
Biometrics, 1997 Mar 01. 53(1), 370-382.
Externí odkaz:
https://www.jstor.org/stable/2533123
Autor:
Zhou, Xiao H.
Publikováno v:
Biometrics, 1996 Mar 01. 52(1), 299-305.
Externí odkaz:
https://www.jstor.org/stable/2533165
Publikováno v:
Journal of Econometrics.
This paper proposes new jackknife IV estimators that are robust to the effects of many weak instruments and error heteroskedasticity in a cluster sample setting with cluster-specific effects and possibly many included exogenous regressors. The estima
Autor:
Mingao Yuan, Qian Wen
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-16
Two-sample hypothesis testing is a classical problem in statistics. Given i.i.d. samples X1,…,Xm∼P and Y1,…,Yn∼Q, the two-sample testing is to test whether P is significantly different from Q or no...