找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Analyzing Categorical Data; Jeffrey S. Simonoff Textbook 2003 Springer Science+Business Media New York 2003 Analysis.Estimator.Excel.SAS.S

[復(fù)制鏈接]
樓主: PLY
11#
發(fā)表于 2025-3-23 13:42:03 | 只看該作者
12#
發(fā)表于 2025-3-23 15:54:02 | 只看該作者
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
13#
發(fā)表于 2025-3-23 20:48:04 | 只看該作者
14#
發(fā)表于 2025-3-23 22:15:22 | 只看該作者
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) (.
15#
發(fā)表于 2025-3-24 05:28:21 | 只看該作者
16#
發(fā)表于 2025-3-24 08:07:12 | 只看該作者
17#
發(fā)表于 2025-3-24 11:27:29 | 只看該作者
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
18#
發(fā)表于 2025-3-24 18:42:13 | 只看該作者
19#
發(fā)表于 2025-3-24 21:44:41 | 只看該作者
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.
20#
發(fā)表于 2025-3-25 00:00:24 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 03:25
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
大埔县| 闻喜县| 望城县| 娄底市| 蓝山县| 林甸县| 广汉市| 云龙县| 芮城县| 开原市| 汉川市| 托克逊县| 池州市| 盈江县| 西贡区| 苍山县| 铜山县| 玉林市| 和龙市| 余姚市| 岚皋县| 宁河县| 门头沟区| 珠海市| 呼和浩特市| 曲周县| 金寨县| 泉州市| 株洲县| 安远县| 大方县| 兴海县| 新营市| 手机| 彩票| 唐山市| 沽源县| 广南县| 延安市| 南江县| 丽江市|