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標題: Titlebook: Introductory Time Series with R; Andrew V. Metcalfe,Paul S.P. Cowpertwait Textbook 2009 Springer Science+Business Media, LLC, part of Spri [打印本頁]

作者: 引起極大興趣    時間: 2025-3-21 16:06
書目名稱Introductory Time Series with R影響因子(影響力)




書目名稱Introductory Time Series with R影響因子(影響力)學科排名




書目名稱Introductory Time Series with R網(wǎng)絡(luò)公開度




書目名稱Introductory Time Series with R網(wǎng)絡(luò)公開度學科排名




書目名稱Introductory Time Series with R被引頻次




書目名稱Introductory Time Series with R被引頻次學科排名




書目名稱Introductory Time Series with R年度引用




書目名稱Introductory Time Series with R年度引用學科排名




書目名稱Introductory Time Series with R讀者反饋




書目名稱Introductory Time Series with R讀者反饋學科排名





作者: Notorious    時間: 2025-3-21 21:24
Introductory Time Series with R978-0-387-88698-5Series ISSN 2197-5736 Series E-ISSN 2197-5744
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作者: 食品室    時間: 2025-3-22 06:36

作者: cunning    時間: 2025-3-22 10:22
System Identification,it is the principle underlying the design of loudspeakers, and it describes the response of buildings to earthquakes. The squealing of disc brakes on a car is caused by vibration. The up and down motion of a ship at sea is a lowfrequency vibration. Spectral analysis provides the means for understanding and controlling vibration.
作者: 傳授知識    時間: 2025-3-22 13:57

作者: 愛管閑事    時間: 2025-3-22 18:08
Andrew V. Metcalfe,Paul S.P. CowpertwaitMotivated with real cases addressing contemporary issues.Detailed explanations of the use of R for time series analysis.Includes supplementary material:
作者: Constant    時間: 2025-3-23 00:39
Use R!http://image.papertrans.cn/i/image/474494.jpg
作者: vibrant    時間: 2025-3-23 05:00

作者: nettle    時間: 2025-3-23 05:55
Correlation,n method of §1.5, we first calculate the seasonally adjusted time series and then remove the trend by subtraction. This leaves the random component, but the random component is not necessarily well modelled by independent random variables. In many cases, consecutive variables will be correlated. If
作者: 有毒    時間: 2025-3-23 10:27
Forecasting Strategies,variable is to find a related variable that leads it by one or more time intervals. The closer the relationship and the longer the lead time, the better this strategy becomes. The trick is to find a suitable lead variable. An Australian example is the Building Approvals time series published by the
作者: 改變    時間: 2025-3-23 14:14

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作者: 必死    時間: 2025-3-24 01:51
Stationary Models,regression may account for these non-stationary components, in which case the residuals from the fitted model should not contain noticeable trend or seasonal patterns. However, the residuals will usually be correlated in time, as this is not accounted for in the fitted regression model.
作者: Budget    時間: 2025-3-24 04:14

作者: Decibel    時間: 2025-3-24 07:45
Long-Memory Processes,ical time series. Flows in the Nile River have correlations at high lags, and Hurst (1951) demonstrated that this affected the optimal design capacity of a dam. Mudelsee (2007) shows that long-memory is a hydrological property that can lead to prolonged drought or temporal clustering of extreme floo
作者: 斜谷    時間: 2025-3-24 12:34

作者: 美麗的寫    時間: 2025-3-24 16:47

作者: Cantankerous    時間: 2025-3-24 19:19
Multivariate Models, in hydrological studies, both rainfall and river flow measurements may be taken at a site of interest. In Chapter 10, we considered a frequency domain approach where variables are classified as inputs or outputs to some system. In this chapter, we consider time domain models that are suitable when
作者: 皺痕    時間: 2025-3-25 02:25
State Space Models,ly simpler to use the specific time series models we have already introduced when they are appropriate for the physical situation. Here, we shall focus on applications for which we require parameters to adapt over time, and to do so more quickly than in a Holt-Winters model. The recent turmoil on th
作者: 享樂主義者    時間: 2025-3-25 04:27
Paul S.P. Cowpertwait,Andrew V. Metcalfestrialized economies. The basic advance of these models is that the evolution of tech- nological progress is explained endogeneously within the economic model. The most important concept is the idea of endogenous, market-driven inno- vations which are seen as the basic source of technological advanc
作者: 物種起源    時間: 2025-3-25 09:48

作者: URN    時間: 2025-3-25 14:58

作者: 碳水化合物    時間: 2025-3-25 19:09

作者: Aggregate    時間: 2025-3-25 21:01

作者: 破布    時間: 2025-3-26 02:12

作者: Chronological    時間: 2025-3-26 07:19
Paul S.P. Cowpertwait,Andrew V. Metcalfeemporarily leaving a path of sustained growth that characterized the last decades, and is facing an impressive decline of trade between countries. Banks are going bankrupt, the stock market has crashed, rms are going out of bu- ness or drastically reducing their production and exports, workers are b
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作者: 引起    時間: 2025-3-26 13:45

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作者: Blazon    時間: 2025-3-27 03:42

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Textbook 2009actical applications, and is defined in mathematical notation. Once the model has been introduced it is used to generate synthetic data, using R code, and these generated data are then used to estimate its parameters. This sequence enhances understanding of both the time series model and the R funct
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作者: Muffle    時間: 2025-3-27 22:48

作者: 殖民地    時間: 2025-3-28 06:04
Forecasting Strategies,Australian Bureau of Statistics. This provides valuable information on the likely demand over the next few months for all sectors of the building industry. A variation on the strategy of seeking a leading variable is to find a variable that is associated with the variable we need to forecast and easier to predict.
作者: Flu表流動    時間: 2025-3-28 08:01
Regression,or a trend we will usually wish to model it in some deterministic manner. For example, a deterministic increasing trend in the data may be related to an increasing population, or a regular cycle may be related to a known seasonal frequency. Deterministic trends and seasonal variation can be modelled using regression.
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作者: organic-matrix    時間: 2025-3-28 22:27
State Space Models,e world’s stock exchanges is a dramatic reminder that time series are subject to sudden changes. Another desirable feature of state space models is that they can incorporate time series of predictor variables in a straightforward manner.
作者: 輕浮思想    時間: 2025-3-29 01:25
Spectral Analysis, quantify exposure of personnel to vibration and repeated shocks. Many of the early applications of spectral analysis were of economic time series, and there has been recent interest in using spectral methods for economic dynamics analysis (Iacobucci and Noullez, 2005).
作者: 無情    時間: 2025-3-29 03:28

作者: intangibility    時間: 2025-3-29 08:23
Paul S.P. Cowpertwait,Andrew V. Metcalfethese crucial events, this book is not an attempt at proposing a radically new way of interpreting macroeconomic phenomena, and, as a m- ter of fact, it is not even a book on macroeconomic theory. My more modest goal is to collect a number of insights derived from recent research on the role of comp
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作者: 玉米棒子    時間: 2025-3-29 18:53

作者: 是比賽    時間: 2025-3-29 23:02
Paul S.P. Cowpertwait,Andrew V. Metcalfeptions regarding the nature of the policy space or the agents’ preferences. Our claim is that the study of such regularities can be based on the complementing, reduced-form, simple contest approach presented in the preceding chapter that captures the basic forces affecting the relationship between p
作者: 中止    時間: 2025-3-29 23:59

作者: 征服    時間: 2025-3-30 06:31

作者: 幾何學家    時間: 2025-3-30 09:55
2197-5736 ciplines, and postgraduate students who may need to analyse time series as part of their taught programme or their research..978-0-387-88697-8978-0-387-88698-5Series ISSN 2197-5736 Series E-ISSN 2197-5744
作者: 無聊的人    時間: 2025-3-30 16:07





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