Joint tests for zero restrictions on nonnegative regression coefficients
非负回归系数零约束的联合检验AI 解读 ↓
本页整理公开书目信息,不生成学术质量评分。AI 解读根据题名及所注明的摘要或原文片段生成,未完成全文核验,可能有误;具体假设、证明与结论请核对原文。摘要保留来源文本,未经模型改写。
DOI 首次登记不等于接收或发表日期。部分更正、评论等条目没有独立摘要;缺少可靠材料时保留待补状态。
引用量采用 OpenAlex 单条关联记录,不合计多个记录;关联记录可能包含正式发表版本,不等于此版本单独引用。缺失不视为零,引用指标不代表论文质量。
关注作者按书目中的完整姓名匹配,同名和姓名变体需人工辨别。相关论文先按共享细分方向和具体方法排列,再参考通用方法与发表日期。
AI 根据所提供的论文材料归类:摘要讨论一般回归参数符号约束下的联合检验,未给出因果、结构估计或其他所列领域的直接应用依据。
反馈分类问题非负回归系数零约束的联合检验AI 解读 ↓
正在核对关联版本…
正在核对对应版本的资源…
Three tests for zero restrictions on regression coefficients that are known to be nonnegative\nare considered: the classical F test, the likelihood ratio test, and a one-sided t test\nin a particular direction. Critical values for the likelihood ratio test are given for the\ncases of two and three restrictions, and the power function is calculated for the case of\ntwo restrictions. The analysis is conducted in terms of a characterization of the clas\nall similar tests for the problem, of which each of the above tests is a member. The\nlikelihood ratio test emerges as the preferred test.