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: Political Economy of Brazil; Recent Economic Perf Philip Arestis,Alfredo Saad-Filho Book 2007 Palgrave Macmillan, a division of Macmillan P

[復(fù)制鏈接]
樓主: Grievous
31#
發(fā)表于 2025-3-27 00:21:41 | 只看該作者
Fernando Cardim de Carvalho,Fernando Ferrari-Filhos discussion, with an emphasis on critiquing the various approaches and on hypothesis testing in a regression setting. We examine both single and multiple hypothesis testing situations; Sects. 4.2 and 4.3 consider the frequentist and Bayesian approaches, respectively. Section 4.4 describes the well-
32#
發(fā)表于 2025-3-27 03:16:02 | 只看該作者
33#
發(fā)表于 2025-3-27 08:52:30 | 只看該作者
Alvaro Angeriz,Philip Arestis,Tirthankar Chakravartyed linear models (GLMs) and, more briefly, nonlinear models. We first give an outline of this chapter. In Sect.9.2 we describe three motivating datasets to which we return throughout the chapter. The GLMs discussed in Sect.6.3 can be extended to incorporate dependences in observations on the same un
34#
發(fā)表于 2025-3-27 13:13:13 | 只看該作者
Philip Arestis,Luiz Fernando de Paula,Fernando Ferrari-Filhos discussion, with an emphasis on critiquing the various approaches and on hypothesis testing in a regression setting. We examine both single and multiple hypothesis testing situations; Sects. 4.2 and 4.3 consider the frequentist and Bayesian approaches, respectively. Section 4.4 describes the well-
35#
發(fā)表于 2025-3-27 14:36:42 | 只看該作者
36#
發(fā)表于 2025-3-27 18:07:20 | 只看該作者
Lecio Morais,Alfredo Saad-Filhoed linear models (GLMs) and, more briefly, nonlinear models. We first give an outline of this chapter. In Sect.9.2 we describe three motivating datasets to which we return throughout the chapter. The GLMs discussed in Sect.6.3 can be extended to incorporate dependences in observations on the same un
 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, 2025-10-29 21:31
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
乌拉特前旗| 贵州省| 永顺县| 长治市| 肥西县| 大理市| 平舆县| 荆门市| 农安县| 沙雅县| 醴陵市| 博白县| 阿尔山市| 灵武市| 金乡县| 鄂伦春自治旗| 汪清县| 石景山区| 新宾| 汝南县| 琼海市| 扎鲁特旗| 夹江县| 忻州市| 横峰县| 阿坝县| 晋中市| 吉安县| 澄迈县| 清远市| 南通市| 祁门县| 洛宁县| 大关县| 论坛| 涿州市| 朔州市| 张家口市| 遂川县| 宁海县| 双辽市|