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: Bayesian Forecasting and Dynamic Models; Mike West,Jeff Harrison Book 19891st edition Springer Science+Business Media New York 1989 data a

[復(fù)制鏈接]
查看: 34476|回復(fù): 51
樓主
發(fā)表于 2025-3-21 19:37:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Bayesian Forecasting and Dynamic Models
影響因子2023Mike West,Jeff Harrison
視頻videohttp://file.papertrans.cn/182/181841/181841.mp4
學(xué)科分類Springer Series in Statistics
圖書(shū)封面Titlebook: Bayesian Forecasting and Dynamic Models;  Mike West,Jeff Harrison Book 19891st edition Springer Science+Business Media New York 1989 data a
影響因子In this book we are concerned with Bayesian learning and forecast- ing in dynamic environments. We describe the structure and theory of classes of dynamic models, and their uses in Bayesian forecasting. The principles, models and methods of Bayesian forecasting have been developed extensively during the last twenty years. This devel- opment has involved thorough investigation of mathematical and sta- tistical aspects of forecasting models and related techniques. With this has come experience with application in a variety of areas in commercial and industrial, scientific and socio-economic fields. In- deed much of the technical development has been driven by the needs of forecasting practitioners. As a result, there now exists a relatively complete statistical and mathematical framework, although much of this is either not properly documented or not easily accessible. Our primary goals in writing this book have been to present our view of this approach to modelling and forecasting, and to provide a rea- sonably complete text for advanced university students and research workers. The text is primarily intended for advanced undergraduate and postgraduate students in statistics and mat
Pindex Book 19891st edition
The information of publication is updating

書(shū)目名稱Bayesian Forecasting and Dynamic Models影響因子(影響力)




書(shū)目名稱Bayesian Forecasting and Dynamic Models影響因子(影響力)學(xué)科排名




書(shū)目名稱Bayesian Forecasting and Dynamic Models網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Bayesian Forecasting and Dynamic Models網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Bayesian Forecasting and Dynamic Models被引頻次




書(shū)目名稱Bayesian Forecasting and Dynamic Models被引頻次學(xué)科排名




書(shū)目名稱Bayesian Forecasting and Dynamic Models年度引用




書(shū)目名稱Bayesian Forecasting and Dynamic Models年度引用學(xué)科排名




書(shū)目名稱Bayesian Forecasting and Dynamic Models讀者反饋




書(shū)目名稱Bayesian Forecasting and Dynamic Models讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:39:45 | 只看該作者
Liang Lin,Dongyu Zhang,Ping Luo,Wangmeng Zuore the second-order models, also sometimes referred to as linear growth models, that much of this chapter is concerned with. Higher order polynomial models are also discussed for completeness, although it is rare that polynomials of order greater than three are required for practice. The structure o
板凳
發(fā)表于 2025-3-22 02:18:15 | 只看該作者
地板
發(fā)表于 2025-3-22 06:34:12 | 只看該作者
Euzebiusz Jamrozik,Michael J. Selgelidl components are a useful first attack. If retrospective analysis is the primary goal, then these simple and purely descriptive models may be adequate in themselves, providing estimates of the trend (or deseasonalised series), seasonal pattern (detrended series) and irregular or random component ove
5#
發(fā)表于 2025-3-22 09:08:57 | 只看該作者
Jacques Berleur,Tanguy Ewbank de Wespined models in Chapter 10 where deterioration in forecasting performance, though small, is apparent. In this Chapter, we move closer to illustrating forecasting systems rather than simply models, considering ways in which routine interventions can be incorporated into existing DLMs, and examples of wh
6#
發(fā)表于 2025-3-22 15:14:57 | 只看該作者
7#
發(fā)表于 2025-3-22 18:47:27 | 只看該作者
8#
發(fā)表于 2025-3-23 00:15:14 | 只看該作者
9#
發(fā)表于 2025-3-23 03:26:38 | 只看該作者
Book 19891st edition writing this book have been to present our view of this approach to modelling and forecasting, and to provide a rea- sonably complete text for advanced university students and research workers. The text is primarily intended for advanced undergraduate and postgraduate students in statistics and mat
10#
發(fā)表于 2025-3-23 06:33:58 | 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, 2025-10-5 11:47
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
南充市| 二连浩特市| 甘南县| 文安县| 池州市| 泽普县| 内黄县| 东明县| 石阡县| 赣州市| 边坝县| 西乌珠穆沁旗| 崇仁县| 江油市| 安溪县| 佛坪县| 讷河市| 华池县| 江华| 高阳县| 临安市| 满洲里市| 琼中| 古丈县| 随州市| 象山县| 渝北区| 公安县| 灯塔市| 旅游| 姚安县| 石渠县| 清丰县| 宜兴市| 宣武区| 兰考县| 阿坝县| 横山县| 富锦市| 军事| 德庆县|