Linear Statistical Inference and Its Applications

Linear Statistical Inference and Its Applications
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DOI:
10.1080/00401706.1966.10490390
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发表时间:
1966-08
期刊:
影响因子:
2.5
通讯作者:
N. L. Johnson
N. L. Johnson
中科院分区:
工程技术3区
文献类型:
--
作者:
N. L. Johnson

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“C. R.饶将发现在几乎任何统计学家的名单五个杰出的工人在世界上的数理统计今天。他的书代表了一个全面的主体的结果,包括现代统计理论。“-W。G. Cochran“[C. R.饶是]的先驱谁奠定了基础的统计增长从特设起源到一个坚实的数学科学。“--B。Efrom翻译成世界六种主要语言,C。R. Rao的《线性统计推断及其应用》是统计推断领域最重要的著作之一。阐述了重要的事态发展的主题已经发生在过去的三十年里,这平装重印他的经典著作统计推断仍然高度适用于统计分析。以逻辑整合和实用的形式呈现统计推断的理论和技术,它包括:* 向量和矩阵的代数 * 概率论,工具,* 连续概率模型 * 最小二乘理论和方差分析 * 估计的标准和方法 * 大样本理论和方法 * 统计推断理论 * 多元正态分布为学生和专业人士编写的统计学的基本知识,这实用的平装版给这个行业标准的新生活作为一个重要的资源,为实践统计学家和统计学家在培训。
"C. R. Rao would be found in almost any statistician's list of five outstanding workers in the world of Mathematical Statistics today. His book represents a comprehensive account of the main body of results that comprise modern statistical theory." -W. G. Cochran "[C. R. Rao is] one of the pioneers who laid the foundations of statistics which grew from ad hoc origins into a firmly grounded mathematical science." -B. Efrom Translated into six major languages of the world, C. R. Rao's Linear Statistical Inference and Its Applications is one of the foremost works in statistical inference in the literature. Incorporating the important developments in the subject that have taken place in the last three decades, this paperback reprint of his classic work on statistical inference remains highly applicable to statistical analysis. Presenting the theory and techniques of statistical inference in a logically integrated and practical form, it covers: * The algebra of vectors and matrices * Probability theory, tools, and techniques * Continuous probability models * The theory of least squares and the analysis of variance * Criteria and methods of estimation * Large sample theory and methods * The theory of statistical inference * Multivariate normal distribution Written for the student and professional with a basic knowledge of statistics, this practical paperback edition gives this industry standard new life as a key resource for practicing statisticians and statisticians-in-training.