Principles & Methods of Statistical Analysis最新文献

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Multiple Regression and Beyond 多元回归及超越
Principles & Methods of Statistical Analysis Pub Date : 2005-07-04 DOI: 10.4324/9781315749099
T. Keith
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引用次数: 550
The Randomization/Permutation Model: An Alternative to the Classical Statistical Model for Testing Hypotheses About Treatment Effects 随机化/排列模型:检验治疗效果假设的经典统计模型的替代方案
Principles & Methods of Statistical Analysis Pub Date : 1900-01-01 DOI: 10.4135/9781071878903.n12
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引用次数: 0
Properties of Distributions: The Building Blocks of Statistical Inference 分布的性质:统计推断的基石
Principles & Methods of Statistical Analysis Pub Date : 1900-01-01 DOI: 10.4135/9781071878903.n6
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引用次数: 0
Examining Our Data: An Introduction to Some of the Techniques of Exploratory Data Analysis 检查我们的数据:介绍探索性数据分析的一些技术
Principles & Methods of Statistical Analysis Pub Date : 1900-01-01 DOI: 10.4135/9781071878903.n5
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引用次数: 0
A Closer Look at Linear Regression 深入研究线性回归
Principles & Methods of Statistical Analysis Pub Date : 1900-01-01 DOI: 10.4135/9781071878903.n15
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引用次数: 0
Exploring The Relationship Between Two Variables: The Linear Regression Model 探索两个变量之间的关系:线性回归模型
Principles & Methods of Statistical Analysis Pub Date : 1900-01-01 DOI: 10.4135/9781071878903.n14
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引用次数: 0
General Principles of Hypothesis Testing 假设检验的一般原则
Principles & Methods of Statistical Analysis Pub Date : 1900-01-01 DOI: 10.4135/9781071878903.n9
{"title":"General Principles of Hypothesis Testing","authors":"","doi":"10.4135/9781071878903.n9","DOIUrl":"https://doi.org/10.4135/9781071878903.n9","url":null,"abstract":"In Chapter 1, we described an experiment by Barlett (2015) in which he attempted to investigate whether there is a difference in hostility between those who receive insulting or nice online messages by conducting an experiment in which participants received messages that were either insulting or nice and then measuring the participants’ levels of hostility. We presented the results of this experiment at the beginning of Chapter 2. In this chapter, we will apply the concepts discussed in preceding chapters to describe the basic principles for testing statistical hypotheses. To make it easier to see those basic principles, we will assume for the moment that we know the population variances. We will postpone the actual analysis of Barlett’s data until Chapter 7, where we will use estimates of the population variance in the application of Student’s t-test. As we saw in Chapter 1, we start with a research question and generate mutually exclusive and exhaustive experimental hypotheses as possible answers to our research question. Then we design a research study based on our research hypotheses and collect data. By making certain assumptions about the data, we can use a statistical model to assess whether the obtained results reflect real experimental effects or merely random (chance) factors. With the classical statistical model, this assessment is carried out by making assumptions about the shape of the populations from which the data were obtained, setting up statistical hypotheses about the parameters of these populations, and evaluating which hypothesis is best supported by the data. The results of our statistical hypothesis test are then generalized back to our experimental hypotheses to hopefully answer the question originally posed. In this chapter, we will examine the principles involved in testing statistical hypotheses with the classical statistical model, and in Chapter 9, we will do the same with the randomization/ permutation model.","PeriodicalId":273625,"journal":{"name":"Principles & Methods of Statistical Analysis","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128167225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Resistant Estimators of Parameters 参数的抗抗力估计
Principles & Methods of Statistical Analysis Pub Date : 1900-01-01 DOI: 10.4135/9781071878903.n8
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引用次数: 0
Testing Hypotheses When the Dependent Variable Consists of Frequencies of Scores in Various Categories 当因变量由不同类别得分的频率组成时,检验假设
Principles & Methods of Statistical Analysis Pub Date : 1900-01-01 DOI: 10.4135/9781071878903.n11
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引用次数: 0
Exploring the Relationship Between Two Variables: Correlation 探究两个变量之间的关系:相关性
Principles & Methods of Statistical Analysis Pub Date : 1900-01-01 DOI: 10.4135/9781071878903.n13
{"title":"Exploring the Relationship Between Two Variables: Correlation","authors":"","doi":"10.4135/9781071878903.n13","DOIUrl":"https://doi.org/10.4135/9781071878903.n13","url":null,"abstract":"","PeriodicalId":273625,"journal":{"name":"Principles & Methods of Statistical Analysis","volume":"340 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132418173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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