找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Goodness-of-Fit Statistics for Discrete Multivariate Data; Timothy R. C. Read,Noel A. C. Cressie Textbook 1988 Springer-Verlag New York In

[復(fù)制鏈接]
樓主: eternal
11#
發(fā)表于 2025-3-23 10:33:42 | 只看該作者
,Tourism Advertisements in , (1925–1937),Chapter 3 presented the terminology and concepts for loglinear model fitting. In the present chapter, the emphasis changes from defining models to testing the model fit using the power-divergence goodness-of-fit statistic.
12#
發(fā)表于 2025-3-23 15:24:48 | 只看該作者
13#
發(fā)表于 2025-3-23 21:17:36 | 只看該作者
https://doi.org/10.1007/978-3-663-04406-2Chapters 4 and 5 presented some theoretical and computational comparisons of the power-divergence family members. This chapter provides some further practical understanding of these results, by analyzing the effects of individual cell frequencies on the power-divergence statistic.
14#
發(fā)表于 2025-3-24 01:12:53 | 只看該作者
https://doi.org/10.1007/978-3-662-08443-4The development of the power-divergence test statistic in the previous chapters suggests interesting and important avenues for further research. In this chapter we outline some specific topics and suggest possible future directions this research might take.
15#
發(fā)表于 2025-3-24 05:24:17 | 只看該作者
16#
發(fā)表于 2025-3-24 06:37:19 | 只看該作者
17#
發(fā)表于 2025-3-24 13:30:27 | 只看該作者
Improving the Accuracy of Tests with Small Sample Size,The distributional properties of the power-divergence family discussed in Chapters 3 and 4 rely on large sample sizes for their validity (i.e., they are asymptotic results). So far, we have not discussed the relevance of these properties when the sample size is small.
18#
發(fā)表于 2025-3-24 17:34:52 | 只看該作者
Comparing the Sensitivity of the Test Statistics,Chapters 4 and 5 presented some theoretical and computational comparisons of the power-divergence family members. This chapter provides some further practical understanding of these results, by analyzing the effects of individual cell frequencies on the power-divergence statistic.
19#
發(fā)表于 2025-3-24 19:59:02 | 只看該作者
Future Directions,The development of the power-divergence test statistic in the previous chapters suggests interesting and important avenues for further research. In this chapter we outline some specific topics and suggest possible future directions this research might take.
20#
發(fā)表于 2025-3-25 02:45:38 | 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-5 12:50
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
正蓝旗| 新兴县| 高平市| 丰城市| 新邵县| 定襄县| 台江县| 新竹县| 文登市| 海安县| 株洲县| 溆浦县| 嘉鱼县| 英山县| 云梦县| 台安县| 寻乌县| 诸暨市| 朝阳市| 常熟市| 甘德县| 易门县| 五华县| 宁安市| 元江| 安宁市| 荥阳市| 基隆市| 仁寿县| 高邮市| 南华县| 广灵县| 新津县| 延寿县| 隆子县| 富裕县| 霍邱县| 武宣县| 西和县| 寿阳县| 陈巴尔虎旗|