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Time Series Analysis And Forecasting by Lon Mu Liu
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1Time Series Analysis : Theory And Practice 3 : Proceedings Of The International Forecasting Conference Held In Valencia, Spain, May 1982
By International Forecasting Conference (1982 : Valencia, Spain)
“Time Series Analysis : Theory And Practice 3 : Proceedings Of The International Forecasting Conference Held In Valencia, Spain, May 1982” Metadata:
- Title: ➤ Time Series Analysis : Theory And Practice 3 : Proceedings Of The International Forecasting Conference Held In Valencia, Spain, May 1982
- Author: ➤ International Forecasting Conference (1982 : Valencia, Spain)
- Language: English
“Time Series Analysis : Theory And Practice 3 : Proceedings Of The International Forecasting Conference Held In Valencia, Spain, May 1982” Subjects and Themes:
Edition Identifiers:
- Internet Archive ID: timeseriesanalys0000inte
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The book is available for download in "texts" format, the size of the file-s is: 792.49 Mbs, the file-s for this book were downloaded 16 times, the file-s went public at Tue Nov 22 2022.
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2Forecasting And Time Series Analysis
By Montgomery, Douglas C
“Forecasting And Time Series Analysis” Metadata:
- Title: ➤ Forecasting And Time Series Analysis
- Author: Montgomery, Douglas C
- Language: English
“Forecasting And Time Series Analysis” Subjects and Themes:
- Subjects: Forecasting - Sales forecasting - Time-series analysis
Edition Identifiers:
- Internet Archive ID: forecastingtimes0000mont
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3BTS 3014 - Time Series Analysis And Forecasting
By Faculty of Computing and Informatics, FCI
Tri 2 – 2016/2017
“BTS 3014 - Time Series Analysis And Forecasting” Metadata:
- Title: ➤ BTS 3014 - Time Series Analysis And Forecasting
- Author: ➤ Faculty of Computing and Informatics, FCI
- Language: English
Edition Identifiers:
- Internet Archive ID: mmu-eprint-4576
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The book is available for download in "texts" format, the size of the file-s is: 5.80 Mbs, the file-s for this book were downloaded 13 times, the file-s went public at Sun May 05 2024.
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4BTS 3014 - Time Series Analysis And Forecasting
By Faculty of Management, FOM
Tri 2 – 2018/2019
“BTS 3014 - Time Series Analysis And Forecasting” Metadata:
- Title: ➤ BTS 3014 - Time Series Analysis And Forecasting
- Author: Faculty of Management, FOM
- Language: English
Edition Identifiers:
- Internet Archive ID: mmu-eprint-5650
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The book is available for download in "texts" format, the size of the file-s is: 3.82 Mbs, the file-s for this book were downloaded 17 times, the file-s went public at Sat May 04 2024.
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51. IJECIERD Time Series Analysis And Forecasting Of
Time series analysis is one of the techniques in statistics used for forecasting the data point or any parameter based on its previous history. Forecasting the parameter helps in accessing the market demand and the behavior of the entire system. In process industry, boiler is the most critical component, as it may explode if not taken care. Forecasting boiler efficiency helps in understanding the operational condition of boiler. If forecast suggests that the efficiency declines, then necessary actions for its improvements can be initiated immediately. Time series analysis is carried out in this paper to predict or forecast the boiler efficiency.
“1. IJECIERD Time Series Analysis And Forecasting Of” Metadata:
- Title: ➤ 1. IJECIERD Time Series Analysis And Forecasting Of
- Language: English
“1. IJECIERD Time Series Analysis And Forecasting Of” Subjects and Themes:
- Subjects: ➤ Time series analysis is one of the techniques in statistics used for forecasting the data point or any parameter based on its previous history. Forecasting the parameter helps in accessing the market demand and the behavior of the entire system. In process industry - boiler is the most critical component - as it may explode if not taken care. Forecasting boiler efficiency helps in understanding the operational condition of boiler. If forecast suggests that the efficiency declines - then necessary actions for its improvements can be initiated immediately. Time series analysis is carried out in this paper to predict or forecast the boiler efficiency.
Edition Identifiers:
- Internet Archive ID: ➤ 1.IJECIERDTimeSeriesAnalysisAndForecastingOf
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The book is available for download in "texts" format, the size of the file-s is: 4.22 Mbs, the file-s for this book were downloaded 189 times, the file-s went public at Sat Apr 16 2016.
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6DTIC ADA032364: A Comparative Analysis Of The D041 System And Time Series Analysis Models For Forecasting Reparable Item Generations.
By Defense Technical Information Center
This research effort compared the D041 Single Moving Average Forecasting method used to forecast reparable generations of recoverable items with the Box and Jenkin's Time Series Analysis forcasting methods. Five artificially generated stochastic processes were used to model the possible reparable generations observed in practice: (1) a Poisson process with a constant mean, (2) a Poisson process with a decreasing mean, (4) a Poisson process with an alternating linear mean, and (5) a process whose values are the sine function of the output of a Poisson process. The reserach concluded that the D041 forecasting mthod made unbiased forecasts for the Poisson process with a constant mean and the sine function, but made biased forecasts for the other three processes. Time Series Analysis forecasting methods were only used to make forecasts for the processes that were found to be biased using the D041 forecasting method. Time Series Analysis forecasting methods made unbiased forecasts for the processes whose means were linearly increasing, linearly decreasing, and alternating linearly.
“DTIC ADA032364: A Comparative Analysis Of The D041 System And Time Series Analysis Models For Forecasting Reparable Item Generations.” Metadata:
- Title: ➤ DTIC ADA032364: A Comparative Analysis Of The D041 System And Time Series Analysis Models For Forecasting Reparable Item Generations.
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA032364: A Comparative Analysis Of The D041 System And Time Series Analysis Models For Forecasting Reparable Item Generations.” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Christensen,Bruce R - Schroeder,Gene J - AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF SYSTEMS AND LOGISTICS - *TIME SERIES ANALYSIS - *INVENTORY CONTROL - COMPUTER PROGRAMS - MATHEMATICAL MODELS - STOCHASTIC PROCESSES - DISTRIBUTION - FORECASTING - THESES - REPAIR - MEAN - BIAS - DOWNTIME - POISSON DENSITY FUNCTIONS
Edition Identifiers:
- Internet Archive ID: DTIC_ADA032364
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The book is available for download in "texts" format, the size of the file-s is: 138.16 Mbs, the file-s for this book were downloaded 112 times, the file-s went public at Thu Nov 19 2015.
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7DTIC ADA044078: A Comparative Analysis Of The D041 Single Moving Average And Other Time Series Analysis Forecasting Techniques.
By Defense Technical Information Center
This thesis examines the forecasting technique used in the Air Force Logistics Command D041 reparable asset management system. The process of retrieving usable data from the D041 Data Bank is described in some detail, including computer problems and potential pitfalls. It was hypothesized that the mean of the absolute values of the D041 forecast error was equal to zero. This hypothesis could not be rejected, but the results are questionable because after the fact forecasts were used. It was further hypothesized that another time series forecasting technique (exponential smoothing) would also yield an error distribution with a mean of zero. This hypothesis could not be rejected; however, the variance for the exponential smoothing forecast error distributions were less than the D041 forecast error distributions for all four lead times examined (one, two, three and four quarters). (Author)
“DTIC ADA044078: A Comparative Analysis Of The D041 Single Moving Average And Other Time Series Analysis Forecasting Techniques.” Metadata:
- Title: ➤ DTIC ADA044078: A Comparative Analysis Of The D041 Single Moving Average And Other Time Series Analysis Forecasting Techniques.
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA044078: A Comparative Analysis Of The D041 Single Moving Average And Other Time Series Analysis Forecasting Techniques.” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Brantley,Jim S - AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF SYSTEMS AND LOGISTICS - *LOGISTICS MANAGEMENT - *FORECASTING - *INVENTORY CONTROL - COMPUTER PROGRAMS - DATA BASES - LOGISTICS SUPPORT - THESES - REPAIR - INFORMATION RETRIEVAL - MAINTENANCE MANAGEMENT - SPARE PARTS
Edition Identifiers:
- Internet Archive ID: DTIC_ADA044078
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8Probability Models For Analysis And Forecasting Of Time Series
By I.V. Baklan, A.A. Stepankova
Researched the results of using Hidden Markov Models for time series analysis with their linkage to influence diagrams. Reviewed features of using Markovs chains for time series analysis and self-learning of Markov chains.
“Probability Models For Analysis And Forecasting Of Time Series” Metadata:
- Title: ➤ Probability Models For Analysis And Forecasting Of Time Series
- Author: I.V. Baklan, A.A. Stepankova
- Language: ukr
Edition Identifiers:
- Internet Archive ID: ➤ httpsjai.in.uaindex.phpd0b0d180d185d196d0b2paper_num535
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The book is available for download in "texts" format, the size of the file-s is: 7.63 Mbs, the file-s for this book were downloaded 19 times, the file-s went public at Mon May 27 2024.
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9Testing And Forecasting The Time Series Of The Solar Activity By Singular Spectrum Analysis
By A. Loskutov, I. A. Istomin, K. M. Kuzanyan and O. L. Kotlyarov
To study and forecast the solar activity data a quite perspective method of singular spectrum analysis (SSA) is proposed. As known, data of the solar activity are usually presented via the Wolf numbers associated with the effective amount of the sunspots. The advantages and disadvantages of SSA are described by its application to the series of the Wolf numbers. It is shown that the SSA method provides a sufficiently high reliability in the description of the 11-year solar cycle. Moreover, this method is appropriate for revealing more long cycles and forecasting the further solar activity during one and a half of 11-year cycle.
“Testing And Forecasting The Time Series Of The Solar Activity By Singular Spectrum Analysis” Metadata:
- Title: ➤ Testing And Forecasting The Time Series Of The Solar Activity By Singular Spectrum Analysis
- Authors: A. LoskutovI. A. IstominK. M. KuzanyanO. L. Kotlyarov
- Language: English
Edition Identifiers:
- Internet Archive ID: arxiv-nlin0010027
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10Introduction To Time Series Analysis And Forecasting : With Applications In SAS And SPSS
By Yaffee, Robert A
To study and forecast the solar activity data a quite perspective method of singular spectrum analysis (SSA) is proposed. As known, data of the solar activity are usually presented via the Wolf numbers associated with the effective amount of the sunspots. The advantages and disadvantages of SSA are described by its application to the series of the Wolf numbers. It is shown that the SSA method provides a sufficiently high reliability in the description of the 11-year solar cycle. Moreover, this method is appropriate for revealing more long cycles and forecasting the further solar activity during one and a half of 11-year cycle.
“Introduction To Time Series Analysis And Forecasting : With Applications In SAS And SPSS” Metadata:
- Title: ➤ Introduction To Time Series Analysis And Forecasting : With Applications In SAS And SPSS
- Author: Yaffee, Robert A
- Language: English
“Introduction To Time Series Analysis And Forecasting : With Applications In SAS And SPSS” Subjects and Themes:
- Subjects: ➤ SAS (Computer file) - SPSS (Computer file) - Social sciences -- Statistical methods - Social sciences -- Statistical methods -- Computer programs - Social sciences -- Forecasting -- Computer programs - Social prediction -- Computer programs - Time-series analysis -- Computer programs
Edition Identifiers:
- Internet Archive ID: introductiontoti0000yaff
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11BTS 3014 - Time Series Analysis And Forecasting
By Faculty of Management, FOM
Trimester 2, 2022/2023
“BTS 3014 - Time Series Analysis And Forecasting” Metadata:
- Title: ➤ BTS 3014 - Time Series Analysis And Forecasting
- Author: Faculty of Management, FOM
- Language: English
Edition Identifiers:
- Internet Archive ID: mmu-eprint-11024
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The book is available for download in "texts" format, the size of the file-s is: 2.06 Mbs, the file-s for this book were downloaded 8 times, the file-s went public at Sat Apr 27 2024.
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12Time Series Analysis And Forecasting : Selected Contributions From The ITISE Conference
By Rojas, Ignacio
pages cm
“Time Series Analysis And Forecasting : Selected Contributions From The ITISE Conference” Metadata:
- Title: ➤ Time Series Analysis And Forecasting : Selected Contributions From The ITISE Conference
- Author: Rojas, Ignacio
- Language: English
Edition Identifiers:
- Internet Archive ID: timeseriesanalys0000roja
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13Time Series Analysis : Forecasting And Control
By Box, George E. P
pages cm
“Time Series Analysis : Forecasting And Control” Metadata:
- Title: ➤ Time Series Analysis : Forecasting And Control
- Author: Box, George E. P
- Language: English
“Time Series Analysis : Forecasting And Control” Subjects and Themes:
- Subjects: Time-series analysis - Prediction theory - Transfer functions - Feedback control systems -- Mathematical models
Edition Identifiers:
- Internet Archive ID: timeseriesanalys0000boxg_p2r1
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14Time Series Analysis And Forecasting : The Box-Jenkins Approach
By Anderson, O. D. (Oliver Duncan), 1940-
pages cm
“Time Series Analysis And Forecasting : The Box-Jenkins Approach” Metadata:
- Title: ➤ Time Series Analysis And Forecasting : The Box-Jenkins Approach
- Author: ➤ Anderson, O. D. (Oliver Duncan), 1940-
- Language: English
“Time Series Analysis And Forecasting : The Box-Jenkins Approach” Subjects and Themes:
- Subjects: ➤ PREDICTION ANALYSIS TECHNIQUES - TIME SERIES ANALYSIS - Jenkins, Gwilym M.. Time series analysis: forecasting and control - Box, George E. P.. Time series analysis: forecasting and control - Série chronologique - Box-Jenkins forecasting - Processus stochastiques - Prise de décision (Statistique) - Estimation, Théorie de l' - Zeitreihenanalyse - Prognoseverfahren - Serie chronologique - Prise de decision (Statistique) - Estimation, Theorie de l'
Edition Identifiers:
- Internet Archive ID: timeseriesanalys0000ande
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15Time Series Analysis; Forecasting And Control
By Box, George E. P
pages cm
“Time Series Analysis; Forecasting And Control” Metadata:
- Title: ➤ Time Series Analysis; Forecasting And Control
- Author: Box, George E. P
- Language: English
“Time Series Analysis; Forecasting And Control” Subjects and Themes:
- Subjects: ➤ Feedback control systems -- Mathematical models - Prediction theory - Time-series analysis - Transfer functions
Edition Identifiers:
- Internet Archive ID: timeseriesanalys0000boxg
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16AUGURY: A Time-series Based Application For The Analysis And Forecasting Of System And Network Performance Metrics
By Nicolas Gutierrez and Manuela Wiesinger-Widi
This paper presents AUGURY, an application for the analysis of monitoring data from computers, servers or cloud infrastructures. The analysis is based on the extraction of patterns and trends from historical data, using elements of time-series analysis. The purpose of AUGURY is to aid a server administrator by forecasting the behaviour and resource usage of specific applications and in presenting a status report in a concise manner. AUGURY provides tools for identifying network traffic congestion and peak usage times, and for making memory usage projections. The application data processing specialises in two tasks: the parametrisation of the memory usage of individual applications and the extraction of the seasonal component from network traffic data. AUGURY uses a different underlying assumption for each of these two tasks. With respect to the memory usage, a limited number of single-valued parameters are assumed to be sufficient to parameterize any application being hosted on the server. Regarding the network traffic data, long-term patterns, such as hourly or daily exist and are being induced by work-time schedules and automatised administrative jobs. In this paper, the implementation of each of the two tasks is presented, tested using locally-generated data, and applied to data from weather forecasting applications hosted on a web server. This data is used to demonstrate the insight that AUGURY can add to the monitoring of server and cloud infrastructures.
“AUGURY: A Time-series Based Application For The Analysis And Forecasting Of System And Network Performance Metrics” Metadata:
- Title: ➤ AUGURY: A Time-series Based Application For The Analysis And Forecasting Of System And Network Performance Metrics
- Authors: Nicolas GutierrezManuela Wiesinger-Widi
“AUGURY: A Time-series Based Application For The Analysis And Forecasting Of System And Network Performance Metrics” Subjects and Themes:
- Subjects: ➤ Distributed, Parallel, and Cluster Computing - Performance - Computing Research Repository
Edition Identifiers:
- Internet Archive ID: arxiv-1607.08344
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The book is available for download in "texts" format, the size of the file-s is: 0.49 Mbs, the file-s for this book were downloaded 20 times, the file-s went public at Fri Jun 29 2018.
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17Time Series Analysis And Forecasting Techniques On The Horticulture Crops In India
By IRJASH Journal
Horticulture is a branch of agriculture that deals with the art, sciences, technology and business of plant cultivation. Horticulture has improved economic status of farmer’s seasonal availability of fruits and vegetables throughout the year increased. This study was conducted to forecast the horticulture crops in India for the years from 2019 to 2021. And the study aim to find out the correctness of forecasting methods on the data collected from the source of horticulture crops in India.
“Time Series Analysis And Forecasting Techniques On The Horticulture Crops In India” Metadata:
- Title: ➤ Time Series Analysis And Forecasting Techniques On The Horticulture Crops In India
- Author: IRJASH Journal
- Language: English
“Time Series Analysis And Forecasting Techniques On The Horticulture Crops In India” Subjects and Themes:
- Subjects: Horticulture crop - Forecasting - Fruits - Spices and Vegetables.
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- Internet Archive ID: ➤ time-series-analysis-and-forecasting-techniques-on-the-horticulture-crops-in-india
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18DTIC ADA067773: Time Series Modeling, Spectral Analysis, And Forecasting.
By Defense Technical Information Center
A strategy for building models for an observed time series is presented in this paper. We seek to fit time domain models which can be interpreted in terms of trend and seasonal components, provide forecasts, and provide spectral estimators. Our time series modeling strategy attempts to achieve distribution function. The approach described could be called: the autoregressive spectral method for time domain model identification of non-stationary time series (which could be abbreviated AR-SPECTRAL-TIME-ID). (Author)
“DTIC ADA067773: Time Series Modeling, Spectral Analysis, And Forecasting.” Metadata:
- Title: ➤ DTIC ADA067773: Time Series Modeling, Spectral Analysis, And Forecasting.
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA067773: Time Series Modeling, Spectral Analysis, And Forecasting.” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Parzen,Emanuel - TEXAS A AND M UNIV COLLEGE STATION INST OF STATISTICS - *TIME SERIES ANALYSIS - MATHEMATICAL MODELS - FORECASTING - REGRESSION ANALYSIS - COVARIANCE - CORRELATION TECHNIQUES - SPECTRUM ANALYSIS - DISTRIBUTION FUNCTIONS
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- Internet Archive ID: DTIC_ADA067773
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19Project Brief Time Series Analysis And Forecasting
Project Brief Time Series Analysis And Forecasting
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- Title: ➤ Project Brief Time Series Analysis And Forecasting
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- Internet Archive ID: ➤ project-brief-time-series-analysis-and-forecasting
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20SAS/ETS Software : Applications Guide 1 : Time Series Modeling And Forecasting, Financial Reporting, And Loan Analysis
Project Brief Time Series Analysis And Forecasting
“SAS/ETS Software : Applications Guide 1 : Time Series Modeling And Forecasting, Financial Reporting, And Loan Analysis” Metadata:
- Title: ➤ SAS/ETS Software : Applications Guide 1 : Time Series Modeling And Forecasting, Financial Reporting, And Loan Analysis
- Language: English
“SAS/ETS Software : Applications Guide 1 : Time Series Modeling And Forecasting, Financial Reporting, And Loan Analysis” Subjects and Themes:
- Subjects: ➤ SAS/ETS - Time-series analysis -- Computer programs - Econometrics -- Computer programs - Accounting -- Computer programs - Loans -- Computer programs
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- Internet Archive ID: isbn_9781555444808
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21504 05 Box Time Series Analysis Forecasting And Control 2015
ARIMA
“504 05 Box Time Series Analysis Forecasting And Control 2015” Metadata:
- Title: ➤ 504 05 Box Time Series Analysis Forecasting And Control 2015
- Language: English
Edition Identifiers:
- Internet Archive ID: ➤ 504-05-box-time-series-analysis-forecasting-and-control-2015
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22BTS 3014 - Time Series Analysis And Forecasting
By Faculty of Management, FOM
Tri 2 – 2017/2018
“BTS 3014 - Time Series Analysis And Forecasting” Metadata:
- Title: ➤ BTS 3014 - Time Series Analysis And Forecasting
- Author: Faculty of Management, FOM
- Language: English
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- Internet Archive ID: mmu-eprint-5606
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23Time Series Analysis Forecasting And Control Revised Edition
By George E. P. Box
Tri 2 – 2017/2018
“Time Series Analysis Forecasting And Control Revised Edition” Metadata:
- Title: ➤ Time Series Analysis Forecasting And Control Revised Edition
- Author: George E. P. Box
- Language: English
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- Internet Archive ID: timeseriesanalys0000geor
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24A Comparative Analysis Of The Predictive Ability Of Adaptive Forecasting, Reestimation And Reidentification Using Box-Jenkins Time Series Analysis
By McKeown, James C, Lorek, Kenneth S., 1946- and University of Illinois at Urbana-Champaign. College of Commerce and Business Administration
Includes bibliographical references (leaf 16)
“A Comparative Analysis Of The Predictive Ability Of Adaptive Forecasting, Reestimation And Reidentification Using Box-Jenkins Time Series Analysis” Metadata:
- Title: ➤ A Comparative Analysis Of The Predictive Ability Of Adaptive Forecasting, Reestimation And Reidentification Using Box-Jenkins Time Series Analysis
- Authors: ➤ McKeown, James CLorek, Kenneth S., 1946-University of Illinois at Urbana-Champaign. College of Commerce and Business Administration
- Language: English
“A Comparative Analysis Of The Predictive Ability Of Adaptive Forecasting, Reestimation And Reidentification Using Box-Jenkins Time Series Analysis” Subjects and Themes:
- Subjects: Time-series analysis - Prediction theory
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- Internet Archive ID: comparativeanaly327mcke
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