Spanish Influenza Mortality of Ethnic Minorities in Norway 1918–1919

Previous studies into SpanishInfluenza mortality have reported thatindigenous populations were the prime victims.The explanations put forward in those studieswere not convincing, however, as no controlshad been made for possibly confounding factors.The multivariate analysis in this paper showsthat areas of Norway with high shares of theSami population (Laps) had high SpanishInfluenza mortality, net of such confoundingfactors as wealth, poverty, crowding, and occupationalstructure. The cause is probably a lack ofinherited and acquired immunity againstinfluenza among the Sami. Another ethnicminority, Kven (Finnish immigrants and theirdescendants), however, did not differsignificantly from the ethnic Norwegianmajority population with respect to SpanishInfluenza mortality. This is explained by arelatively high degree of economic and culturalassimilation of the Kven in the Norwegiansociety, as opposed to the Sami in the late1910s.     

Empirical likelihood tests for two‐sample problems via nonparametric density estimation

The authors study the problem of testing whether two populations have the same law by comparing kernel estimators of the two density functions. The proposed test statistic is based on a local empirical likelihood approach. They obtain the asymptotic distribution of the test statistic and propose a bootstrap approximation to calibrate the test. A simulation study is carried out in which the proposed method is compared with two competitors, and a procedure to select the bandwidth parameter is studied. The proposed test can be extended to more than two samples and to multivariate distributions.     

A NOTE ON SAMPLE QUANTILE PROCESSES OF FINITE POPULATIONS

A representation is established for sample quantile processes of simple random samples drawn without replacement from finite populations. The result is then used to obtain weak limits of properly normalized quantile processes and their linear functions.     

我国棉花储备调控政策的实施绩效与评价

文章实证分析我国棉花储备抛收储政策的实施绩效,探讨棉花临时收储预案执行以来棉花抛收储政策对于市场的调控作用。研究表明,棉花储备通过收储和抛储影响市场价格的政策目标均未能有效实现;临时收储预案政策的实施,不仅扭曲了市场价格,而且使政府背负了较严重的财政负担。为防止棉花市场出现剧烈波动,应逐步取消临时收储预案政策,恢复棉花储备不参与市场经营的战略储备属性;同时,对棉农采取目标收入补贴和收入损失补偿政策,加大对棉花生产的科技投入。     

Bounds on deviations of estimates arising in finite population regression models

Bounds for the maximum deviation between parameters of a finite population and their corresponding sample estimates are found in the multiple regression model. The parameters considered are the vector of regression coefficients and the value ofthe regression function for given values of the independent variable (or variables). Applications are considered to several widely employed sampling methods.     

On sequentially rejective subset selection procedures

A technique for selection procedures, called sequential rejection, is investigated. It is shown that this technique is posssible to apply to certain selection goals of the "all or nothing" type, i.e. "selecting a subset containing all good populations" or "selecting a subset containing no bad population". The analogy with existing sequential techniques in the general theory of simultaneous statistical inference is pointed out.     

Asymptotic non-null distribution of a test connected with exponential populations

In this paper asymptotic expansions of the non-null distribution of the likelihood ratio criterion for testing the equality of several one parameter exponential distributions are obtained under local alternatives. These expansions are in terms of Chi-square distributions.     

Book Reviews

The diagnostic tools examined in this article are applicable to regressions estimated with panel data or cross-sectional data drawn from a population with grouped structure. The diagnostic tools considered include (a) tests for the existence of group effects under both fixed and random effects models, (b) checks for outlying groups, and (c) specification tests for comparing the fixed and random effects models. A group-specific counterpart to the studentized residual is introduced. The methods are illustrated using a hedonic housing price regression.