標題: Titlebook: Analyzing Categorical Data; Jeffrey S. Simonoff Textbook 2003 Springer Science+Business Media New York 2003 Analysis.Estimator.Excel.SAS.S [打印本頁] 作者: PLY 時間: 2025-3-21 18:47
書目名稱Analyzing Categorical Data影響因子(影響力)
書目名稱Analyzing Categorical Data影響因子(影響力)學科排名
書目名稱Analyzing Categorical Data網絡公開度
書目名稱Analyzing Categorical Data網絡公開度學科排名
書目名稱Analyzing Categorical Data被引頻次
書目名稱Analyzing Categorical Data被引頻次學科排名
書目名稱Analyzing Categorical Data年度引用
書目名稱Analyzing Categorical Data年度引用學科排名
書目名稱Analyzing Categorical Data讀者反饋
書目名稱Analyzing Categorical Data讀者反饋學科排名
作者: 公理 時間: 2025-3-21 23:58 作者: needle 時間: 2025-3-22 03:28 作者: Mettle 時間: 2025-3-22 07:32
Springer Texts in Statisticshttp://image.papertrans.cn/a/image/156809.jpg作者: 外向者 時間: 2025-3-22 10:17
Analyzing Categorical Data978-0-387-21727-7Series ISSN 1431-875X Series E-ISSN 2197-4136 作者: 和音 時間: 2025-3-22 14:51 作者: 救護車 時間: 2025-3-22 19:06
Return to (Illiberal) Diversity?near regression model. Most of this material typically is not covered in an introductory statistics course. We will focus on the aspects of advanced regression modeling that are of direct relevance to the categorical data modeling methods discussed in succeeding chapters.作者: 匍匐 時間: 2025-3-22 21:17 作者: 摻假 時間: 2025-3-23 03:45 作者: RODE 時間: 2025-3-23 08:56
https://doi.org/10.1057/9780230104167he normal, or Gaussian, distribution. It is important to note that the brief overview of least squares regression given here is not a substitute for the thorough discussion that would appear in a good regression textbook. See the “Background material” section of this chapter for several examples of 作者: Concerto 時間: 2025-3-23 13:42 作者: effrontery 時間: 2025-3-23 15:54
Diversity in the European Unionone predicting variable. While it was possible to model the number of deaths monthly from the number of killer tornadoes, there were clear problems in that model fitting, including negative estimated tornado-related deaths, an apparent nonlinear relationship between the target and the predictor, and作者: indignant 時間: 2025-3-23 20:48 作者: Countermand 時間: 2025-3-23 22:15
Petia Genkova,Edwin Semke,Henrik Schreiberendence isn’t very interesting. What would be more promising would be to be able to fit models that allow for some structure in the table. Depending on the form of the table, many such models are possible. These models allow for a general interaction term to be summarized using fewer than (. — 1) (.作者: 碎石頭 時間: 2025-3-24 05:28 作者: 北極人 時間: 2025-3-24 08:07 作者: Condescending 時間: 2025-3-24 11:27
https://doi.org/10.1007/978-3-658-35326-1a fundamental step in the analysis of contingency tables, allowing (for example) generalization of analysis for 2 × 2 tables to . × . tables. The need for such generalizations carries over to regression analysis as well. In a clinical trial context, for example, investigation of the effectiveness of作者: 脖子 時間: 2025-3-24 18:42 作者: Rinne-Test 時間: 2025-3-24 21:44
Gaussian-Based Model Building,near regression model. Most of this material typically is not covered in an introductory statistics course. We will focus on the aspects of advanced regression modeling that are of direct relevance to the categorical data modeling methods discussed in succeeding chapters.作者: integral 時間: 2025-3-25 00:00 作者: Heterodoxy 時間: 2025-3-25 06:36
Tables with More Structure,endence isn’t very interesting. What would be more promising would be to be able to fit models that allow for some structure in the table. Depending on the form of the table, many such models are possible. These models allow for a general interaction term to be summarized using fewer than (. — 1) (. — 1) degrees of freedom (often, far fewer).作者: Deduct 時間: 2025-3-25 11:31
Dovil? Budryt?,Vilana Pilinkait?-Sotirovi?This chapter covers the building blocks of the analysis of categorical data. First we discuss the important random variables that are the basis of analysis — the binomial, Poisson, and multinomial distributions.作者: GLADE 時間: 2025-3-25 12:39 作者: Infant 時間: 2025-3-25 18:09 作者: 潛伏期 時間: 2025-3-25 21:52
Gaussian-Based Model Building,near regression model. Most of this material typically is not covered in an introductory statistics course. We will focus on the aspects of advanced regression modeling that are of direct relevance to the categorical data modeling methods discussed in succeeding chapters.作者: 討好美人 時間: 2025-3-26 03:49 作者: 暖昧關系 時間: 2025-3-26 07:30
Analyzing Two-Way Tables,orm of tables of counts, or .. Despite this, it is worthwhile to examine such tables as a separate topic, as the tabular structure can lead to useful insights into appropriate models and modeling strategies. In this chapter we focus on two-way tables, starting with the simplest situation, tables wit作者: blithe 時間: 2025-3-26 11:33 作者: 拱墻 時間: 2025-3-26 12:41
Multidimensional Contingency Tables, linear model (Poisson regression) point of view, this merely corresponds to incorporating more (nominal or ordinal) predictors into the model, and presents no particular difficulties. The structure in a multidimensional contingency table model, however, and the implied forms of association and inde作者: 宿醉 時間: 2025-3-26 17:51
Regression Models for Binary Data,asic form of categorical data, however, is binary — 0 or 1. It is often of great interest to try to model the probability of success (the outcome coded 1) or failure (the outcome coded 0) as a function of other predictors. Consider a study designed to investigate risk factors for cancer. Attributes 作者: myopia 時間: 2025-3-27 00:50 作者: 整潔漂亮 時間: 2025-3-27 04:51
Textbook 2003hted in the text, and are more detailed than is typical, providing discussion of the context and background of the problem, model checking, and scientific implications. More than 200 exercises are provided, many also based on recent subject area literature. Data sets and computer code are available 作者: 機警 時間: 2025-3-27 08:56 作者: Pudendal-Nerve 時間: 2025-3-27 11:20
1431-875X e problem, model checking, and scientific implications. More than 200 exercises are provided, many also based on recent subject area literature. Data sets and computer code are available 978-1-4419-1837-6978-0-387-21727-7Series ISSN 1431-875X Series E-ISSN 2197-4136 作者: 噱頭 時間: 2025-3-27 13:56 作者: 監(jiān)禁 時間: 2025-3-27 20:19
1431-875X ng, psychology, and sociology. This book provides an introduction to the analysis of such data. The coverage is broad, using the loglinear Poisson regression model and logistic binomial regression models as the primary engines for methodology. Topics covered include count regression models, such as 作者: Stagger 時間: 2025-3-28 01:42
Diversity in the European UnionChapter 4. Before discussing specific models, we present results for a very general regression model, the .. In later sections and chapters we will see how these general results apply to specific models for distributions such as the Poisson and binomial.作者: CAMEO 時間: 2025-3-28 03:48
https://doi.org/10.1007/978-3-658-35326-1s multinomial target variable is obviously different from a binary success/failure target, but the goal remains the same: to develop a model relating predictors to the probability of falling in each of the levels of the target. Depending on the structure of the response variable (nominal or ordinal), different generalizations are possible.作者: 恃強凌弱的人 時間: 2025-3-28 09:12
Regression Models for Count Data,Chapter 4. Before discussing specific models, we present results for a very general regression model, the .. In later sections and chapters we will see how these general results apply to specific models for distributions such as the Poisson and binomial.作者: 榮幸 時間: 2025-3-28 14:08 作者: Gratuitous 時間: 2025-3-28 17:54 作者: 不幸的人 時間: 2025-3-28 20:10
Edwin Semke,Marela Juric-Kacunict is in many ways the simplest generalization, the 2 × 2 × . table, since many of the general issues involved arise in this simpler context. We will then generalize results to . × . × . and eventually four- and higher-dimensional tables.作者: Extemporize 時間: 2025-3-29 02:38
Multidimensional Contingency Tables,t is in many ways the simplest generalization, the 2 × 2 × . table, since many of the general issues involved arise in this simpler context. We will then generalize results to . × . × . and eventually four- and higher-dimensional tables.作者: 軟弱 時間: 2025-3-29 06:29 作者: Inertia 時間: 2025-3-29 08:36
