Statistical data analysis for ocean and atmospheric sciences
Statistical data analysis for ocean and atmospheric sciences
复制标题
海洋和大气科学统计数据分析
DOI：
10.2307/1270430
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发表时间：
1995
期刊：
影响因子：
--
通讯作者：
H. J. Thiébaux
中科院分区：
文献类型：
--
作者：
E. Ziegel;H. J. Thiébaux
科学中的统计分析和推理：在理论和观察的界面上得出结论的艺术。数据和数据管理：我们必须继续或积累的观察记录及其快速重组。描述性统计：第一印象或素描特征的观察系统的数据。推理的基础：概率模型作为研究结果的描述。随机变量及其分布的识别：提取不确定性。指数分布和均匀分布：描述时间和空间的不确定性。正态分布：许多复合变量的良好近似。分析变异性：建立均值之间和方差之间的差异。测试假设：处理一般的批评，同时为新思想建立强大的支持。线性回归：分析影响网络。Bootstrapping：当上述都不适用时的科学推理。章练习。参考资料。主题索引。
Statistical Analysis and Inference in Science: The Art of Reaching Conclusions at the Interface of Theory and Observation. Data and Data Management: What We Have to Go On or Accumulated Records of Observations and Their Expeditious Reorganization. Descriptive Statistics: First Impressions or Sketching Features of Observed Systems with Data. The Foundations of Inference: Probability Models as Descriptions of Research Outcomes. Stochastic Variables andthe Identification of Their Distributions: Distilling Uncertainty. The Exponential and Uniform Distributions: Describing Uncertainty in Time and Space. The Normal Distributions: Good Approximations for Many Composite Variables. AnalyzingVariability: Establishing Differences between Means and between Variances. Testing Hypotheses: Dealing with the Generic Critic while Establishing Powerful Support for New Ideas. Linear Regression: Analyzing an Influence Network. Bootstrapping: Scientific Inference when None of the Above Apply. Chapter Exercises. References. Subject Index.