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A Simple and Fast Algorithm for Generating Correlation Matrices with a Known Average Correlation Coefficient 利用已知平均相关系数生成相关矩阵的简单快速算法
IF 1.8 4区 数学 Q1 Mathematics Pub Date : 2024-05-02 DOI: 10.1080/00031305.2024.2350449
Niels G. Waller
This article describes a simple and fast algorithm for generating correlation matrices ( R) with a known average correlation. The algorithm should be useful for researchers desiring plausible R m...
本文介绍了一种简单快速的算法,用于生成具有已知平均相关性的相关矩阵 ( R)。该算法对于希望获得可信的 R 矩阵的研究人员来说非常有用。
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引用次数: 0
Binomial Confidence Intervals for Rare Events: Importance of Defining Margin of Error Relative to Magnitude of Proportion 罕见事件的二项式置信区间:定义相对于比例大小的误差幅度的重要性
IF 1.8 4区 数学 Q1 Mathematics Pub Date : 2024-05-02 DOI: 10.1080/00031305.2024.2350445
Owen McGrath, Kevin Burke
Confidence interval performance is typically assessed in terms of two criteria: coverage probability and interval width (or margin of error). In this paper, we assess the performance of four common...
置信区间性能通常用两个标准来评估:覆盖概率和区间宽度(或误差范围)。在本文中,我们评估了四种常见的置信区间的性能。
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引用次数: 0
Analyzing Matched 2 × 2 Tables from all Corners 从所有角分析匹配的 2 × 2 表
IF 1.8 4区 数学 Q1 Mathematics Pub Date : 2024-05-02 DOI: 10.1080/00031305.2024.2350452
Marc Aerts, Geert Molenberghs
Squared 2 × 2 tables with binary data from matched pairs are typically analysed using Cochran-Mantel-Haenszel methodology, conditional logistic regression, or random intercepts logistic regression....
通常使用 Cochran-Mantel-Haenszel 方法、条件逻辑回归或随机截距逻辑回归对配对二元数据的 2 × 2 平方表进行分析....。
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引用次数: 0
Telling Stories with Data: With Applications in R 用数据讲故事:附带 R 应用程序
IF 1.8 4区 数学 Q1 Mathematics Pub Date : 2024-04-23 DOI: 10.1080/00031305.2024.2339562
Piotr Fryzlewicz
Published in The American Statistician (Ahead of Print, 2024)
发表于《美国统计学家》(2024 年提前出版)
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引用次数: 0
An Introduction to R and Python for Data Analysis: A Side-by-Side Approach. R 和 Python 数据分析入门:并行方法》。
IF 1.8 4区 数学 Q1 Mathematics Pub Date : 2024-04-17 DOI: 10.1080/00031305.2024.2320949
Gabriel Wallin
Published in The American Statistician (Vol. 78, No. 2, 2024)
发表于《美国统计学家》(第 78 卷第 2 期,2024 年)
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引用次数: 0
On Point Estimators for Gamma and Beta Distributions 关于伽马分布和贝塔分布的点估计器
IF 1.8 4区 数学 Q1 Mathematics Pub Date : 2024-04-17 DOI: 10.1080/00031305.2024.2332766
Nickos D. Papadatos
Let X1,…,Xn be a random sample from the gamma distribution with density f(x)=λαxα−1e−λx/Γ(α), x > 0, where both α>0 (the shape parameter) and λ>0 (the reciprocal scale parameter) are unknown. The m...
假设 X1,...,Xn 是伽马分布的随机样本,密度为 f(x)=λαxα-1e-λx/Γ(α),x > 0,其中 α>0(形状参数)和 λ>0(倒标度参数)均未知。该模型的...
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引用次数: 0
Statistical Theory: A Concise Introduction, 2nd ed. 统计理论:统计理论:简明导论》,第 2 版。
IF 1.8 4区 数学 Q1 Mathematics Pub Date : 2024-04-17 DOI: 10.1080/00031305.2024.2325704
Juan Sosa
Published in The American Statistician (Ahead of Print, 2024)
发表于《美国统计学家》(2024 年提前出版)
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引用次数: 0
Deep Learning and Scientific Computing with R torch 使用 R torch 进行深度学习和科学计算
IF 1.8 4区 数学 Q1 Mathematics Pub Date : 2024-04-17 DOI: 10.1080/00031305.2024.2320219
Yang Ni
Published in The American Statistician (Vol. 78, No. 2, 2024)
发表于《美国统计学家》(第 78 卷第 2 期,2024 年)
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引用次数: 0
Introduction to Statistical Modelling and Inference 统计建模与推理入门
IF 1.8 4区 数学 Q1 Mathematics Pub Date : 2024-04-17 DOI: 10.1080/00031305.2024.2326662
Nianpin Cheng, Beth Chance
Published in The American Statistician (Ahead of Print, 2024)
发表于《美国统计学家》(2024 年提前出版)
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引用次数: 0
Boldness-Recalibration for Binary Event Predictions 二进制事件预测的魄力-再校准
IF 1.8 4区 数学 Q1 Mathematics Pub Date : 2024-04-04 DOI: 10.1080/00031305.2024.2339266
Adeline P. Guthrie, Christopher T. Franck
Probability predictions are essential to inform decision making across many fields. Ideally, probability predictions are (i) well calibrated, (ii) accurate, and (iii) bold, i.e., spread out enough ...
概率预测对许多领域的决策制定至关重要。理想情况下,概率预测(i)校准良好,(ii)准确,(iii)大胆,即足够分散......
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引用次数: 0
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