Applied Mathematics

Applied Mathematics

ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org
"Uses of the Buys-Ballot Table in Time Series Analysis"
written by Iheanyi S. Iwueze, Eleazar C. Nwogu, Ohakwe Johnson, Jude C. Ajaraogu,
published by Applied Mathematics, Vol.2 No.5, 2011
has been cited by the following article(s):
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[2] Autoregressive Modeling and Forecasts of Degema Monthly Allocation: Buy's-Ballot and Bartlett's Transformation
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[5] Buys-Ballot Estimates for Mixed Model in Descriptive Time Series
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[6] Epidemiological Situation of Necrotizing Fasciitis and Factors in Thailand and Factors Associated with Its Morbidity and Mortality, 2014–2018
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[7] A comparative study on additive and mixed models in descriptive time series
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[8] Additive Decomposition with Arima Model Forecasts When the Trend Component Is Quadratic
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[9] On the Impact of Outliers in Time Series Analysis (A Case Study of NPA Generated Revenue)
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[10] Identifying Seasonality in Time Series by Applying Fast Fourier Transform
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[11] The Exact Frequency Domain Solution for the Periodic Synchronous Averaging Performed in Discrete-Time
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[12] ИССЛЕДОВАНИЕ МЕТОДА СИНХРОННОГО ПЕРИОДИЧЕСКОГО УСРЕДНЕНИЯ
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[13] Seasonal Differences as a Tool for Choice of Model in Descriptive Time Series Analysis
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[14] Choice of Appropriate Power Transformation of Skewed Distribution for Quantile Regression Model
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[15] Спектральное представление периодического усреднения непрерывного периодического сигнала при использовании дискретного преобразования Фурье
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[16] A Descriptive Time Series Analysis Applied to the Fit of Carbon-Dioxide (CO< sub> 2)
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[17] Comparison of Methods of Estimating Missing Values in Time Series
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[18] Methods for choice of model in descriptive time series: A review with example
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[19] A Comparison of Univariate and Multivariate Time Series Approaches to Modeling Currency Exchange Rate
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[20] Parametric and Non Parametric Approach to Choice of Model in Descriptive Time Series
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[21] Methods for choice of model in descriptive time se-ries: A review with example
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[22] Some Tests for Seasonality in Time Series Data
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[23] Comparison of Two Time Series Decomposition Methods: Least Squares and Buys-Ballot Methods
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[24] Методы анализа низкочастотных колебаний и синхронизирующего действия генератора на базе векторных измерений: диссертация на соискание …
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[25] The Distribution of Cube Root Transformation of the Error Component of the Multiplicative Time Series Model
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[26] Методы анализа низкочастотных колебаний и синхронизирующего действия генератора на базе векторных измерений: диссертация на соискание …
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[27] On Properties of the Inverse Cube Transformation of Error Component of the Multiplicative Time Series Model
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[28] FRAMEWORK FOR CHOICE OF MODELS AND DETECTION OF SEASONAL EFFECT IN TIME SERIES
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[29] Power Transformations and Unit Mean and Constant Variance Assumptions of the Multiplicative Error Model: The Generalized Gamma Distribution
British Journal of Mathematics & Computer Science, 2014
[30] An adaptive multiplicative decomposition of non stationary multi-temporal satellite images: Application to urban changes detection
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[31] Time Series Modeling of Nigeria External Reserves
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[32] Condition for Successful Square Transformation in Time Series Modeling
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[33] A Statistical Analysis of the Nigerian External Reserve and the Impact of Military and Civilian Rule
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[34] A Statistical Analysis of the Nigerian. External Reserves and the Impact of Military and Civilian Rule
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[35] The Effect of Inverse Transformation on the Unit Mean and Constant Variance Assumptions of a Multiplicative Error Model Whose Error Component has a …
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[36] The Effect of Inverse Transformation on the Unit Mean and Constant Variance Assumptions of a Multiplicative Error Model Whose Error Component has a Gamma Distribution
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[37] Unit Mean and Constant Variance of the Generalized Gamma Distribution after Square Root Transformation in Statistical modeling
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[38] Weibull-based Time-phasing of Budget Expenditures
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