Foreign Private Investment And Economic Growth In Nigeria: A Cointegrated Var And Granger Causality Analysis,
2011
1Department of Statistics Collage of Science and Technology. Waziri Umaru Federal Polytechnic Birnin Kebbi, Nigeria
Foreign Private Investment And Economic Growth In Nigeria: A Cointegrated Var And Granger Causality Analysis, F. Z. Abdullahi, S. Ladan, Haruna R. Bakari
CBN Journal of Applied Statistics (JAS)
This research uses a cointegration VAR model to study the contemporaneous long-run dynamics of the impact of Foreign Private Investment (FPI), Interest Rate (INR) and Inflation rate (IFR) on Growth Domestic Products (GDP) in Nigeria for the period January 1970 to December 2009. The Unit Root Test suggests that all the variables are integrated of order 1. The VAR model was appropriately identified using AIC information criteria and the VECM model has exactly one cointegration relation. The study further investigates the causal relationship using the Granger causality analysis of VECM which indicates a uni-directional causality relationship between GDP and FDI …
Banking Sector Credit And Economic Growth In Nigeria: An Empirical Investigation,
2011
Department of Economics, Modibbo Adama University of Technology, Yola, Nigeria
Banking Sector Credit And Economic Growth In Nigeria: An Empirical Investigation, Aniekan O. Akpansung, Sikiru J. Babalola
CBN Journal of Applied Statistics (JAS)
The paper examines the relationship between banking sector credit and economic growth in Nigeria over the period 1970-2008. The causal links between the pairs of variables of interest were established using Granger causality test while a Two-Stage Least Squares (TSLS) estimation technique was used for the regression models. The results of Granger causality test show evidence of unidirectional causal relationship from GDP to private sector credit (PSC) and from industrial production index (IND) to GDP. Estimated regression models indicate that private sector credit impacts positively on economic growth over the period of coverage in this study. However, lending (interest) rate …
Neither The Washington Nor Beijing Consensus: Developmental Models To Fit African Realities And Cultures,
2011
Central Bank of Nigeria
Neither The Washington Nor Beijing Consensus: Developmental Models To Fit African Realities And Cultures, Sanusi L. Sanusi
CBN Journal of Applied Statistics (JAS)
No abstract provided.
Liner Shipping Lane Planning From Shanghai Port To Guangzhou Port Of Shanghai Baoyin Shipping Co., Ltd,
2011
World Maritime University
Liner Shipping Lane Planning From Shanghai Port To Guangzhou Port Of Shanghai Baoyin Shipping Co., Ltd, Zhujun Zhou
World Maritime University Dissertations
No abstract provided.
Comparison Of Time Series And Functional Data Analysis For The Study Of Seasonality.,
2011
East Tennessee State University
Comparison Of Time Series And Functional Data Analysis For The Study Of Seasonality., Jake Allen
Electronic Theses and Dissertations
Classical time series analysis has well known methods for the study of seasonality. A more recent method of functional data analysis has proposed phase-plane plots for the representation of each year of a time series. However, the study of seasonality within functional data analysis has not been explored extensively. Time series analysis is first introduced, followed by phase-plane plot analysis, and then compared by looking at the insight that both methods offer particularly with respect to the seasonal behavior of a variable. Also, the possible combination of both approaches is explored, specifically with the analysis of the phase-plane plots. The …
Analysis Of Roms Estimated Posterior Error Utilizing 4dvar Data Assimilation,
2011
California Polytechnic State University, San Luis Obispo
Analysis Of Roms Estimated Posterior Error Utilizing 4dvar Data Assimilation, Joseph Patrick Horton
Mathematics
The appropriateness of the approximate error calculated by the Regional Ocean Modeling System (ROMS) is analyzed using Four-Dimensional Data Assimilation (4DVAR) performed on a numerical model of the San Luis Obispo Bay. An effective method of sampling data to minimize the actual error associated with the assimilated numerical model is explored by using different data sampling methods. An idealized state of the SLO bay region ("Real Run") is created to be used as the real ocean, then a numerical model of this region is created approximating this Real Run; this is known as the "Simulated State". By taking samples from …
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 5: Properties Analysis - Artist Housing Characteristics,
2011
Cleveland State University
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 5: Properties Analysis - Artist Housing Characteristics, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
All Maxine Goodman Levin School of Urban Affairs Publications
A series of reports detailing the residential and work space location preferences of Cuyahoga county's artists.
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 4: Predictive Analysis - Regression Modeling,
2011
Cleveland State University
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 4: Predictive Analysis - Regression Modeling, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
All Maxine Goodman Levin School of Urban Affairs Publications
A series of reports detailing the residential and work space location preferences of Cuyahoga county's artists.
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 3: Attitudinal Analysis - Artist Housing And Space Survey,
2011
Cleveland State University
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 3: Attitudinal Analysis - Artist Housing And Space Survey, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
All Maxine Goodman Levin School of Urban Affairs Publications
A series of reports detailing the residential and work space location preferences of Cuyahoga county's artists.
Targeted Maximum Likelihood Estimation For Dynamic Treatment Regimes In Sequential Randomized Controlled Trials,
2011
University of California, Berkeley, Division of Biostatistics
Targeted Maximum Likelihood Estimation For Dynamic Treatment Regimes In Sequential Randomized Controlled Trials, Paul Chaffee, Mark J. Van Der Laan
U.C. Berkeley Division of Biostatistics Working Paper Series
Sequential Randomized Controlled Trials (SRCTs) are rapidly becoming essential tools in the search for optimized treatment regimes in ongoing treatment settings. Analyzing data for multiple time-point treatments with a view toward optimal treatment regimes is of interest in many types of afflictions: HIV infection, Attention Deficit Hyperactivity Disorder in children, leukemia, prostate cancer, renal failure, and many others. Methods for analyzing data from SRCTs exist but they are either inefficient or suffer from the drawbacks of estimating equation methodology. We describe an estimation procedure, targeted maximum likelihood estimation (TMLE), which has been fully developed and implemented in point treatment settings, …
Gis Will Affect The Political Landscape For The Next Decade And Beyond,
2011
Cleveland State University
Gis Will Affect The Political Landscape For The Next Decade And Beyond, Mark Salling
All Maxine Goodman Levin School of Urban Affairs Publications
No abstract provided.
Applying Localized Realized Volatility Modeling To Futures Indices,
2011
Claremont McKenna College
Applying Localized Realized Volatility Modeling To Futures Indices, Luella Fu
CMC Senior Theses
This thesis extends the application of the localized realized volatility model created by Ying Chen, Wolfgang Karl Härdle, and Uta Pigorsch to other futures markets, particularly the CAC 40 and the NI 225. The research attempted to replicate results though ultimately, those results were invalidated by procedural difficulties.
Ohio's Use Of Geographic Information Systems To Demonstrate Public Participation In The Redistricting Process,
2011
Cleveland State University
Ohio's Use Of Geographic Information Systems To Demonstrate Public Participation In The Redistricting Process, Mark Salling
All Maxine Goodman Levin School of Urban Affairs Publications
No abstract provided.
Public Participation Geographic Information Systems For Redistricting A Case Study In Ohio,
2011
Cleveland State University
Public Participation Geographic Information Systems For Redistricting A Case Study In Ohio, Mark Salling
All Maxine Goodman Levin School of Urban Affairs Publications
Public Participation Geographic Information Systems for Redistricting A Case Study in Ohio, Journal of the Urban and Regional Information Systems Association, Vol. 23, Number 1, forthcoming.
Poisson Process Monitoring, Test And Comparison,
2010
University of Nevada, Las Vegas
Poisson Process Monitoring, Test And Comparison, Qing Chen
UNLV Theses, Dissertations, Professional Papers, and Capstones
The task of determining whether a sudden change occurred in the generative parameters of a time series generates application in many areas. In this thesis, we aim at monitoring the change-point of a Poisson process by method, which is characterized by a forward-backward testing algorithm and several overall error control mechanisms. With the application of this proposed method, we declare that Mount Etna is not a simple Poissonian volcano, because two different regimes divided by the change point, January 30th 1974, are identified. The validation procedures, used in a complementary fashion, by the formal hypothesis tests and graphical method will …
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 2: Profiles Of Artist Neighborhoods,
2010
Cleveland State University
Putting Artists On The Map: A Five Part Study Of Greater Cleveland Artists' Location Decisions - Part 2: Profiles Of Artist Neighborhoods, Mark Salling, Gregory Soltis, Charles Post, Sharon Bliss, Ellen Cyran
All Maxine Goodman Levin School of Urban Affairs Publications
A series of reports detailing the residential and work space location preferences of Cuyahoga county's artists.
Estimating Temporal Associations In Electrocorticographic (Ecog) Time Series With First Order Pruning,
2010
Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics
Estimating Temporal Associations In Electrocorticographic (Ecog) Time Series With First Order Pruning, Haley Hedlin, Dana Boatman, Brian Caffo
Johns Hopkins University, Dept. of Biostatistics Working Papers
Granger causality (GC) is a statistical technique used to estimate temporal associations in multivariate time series. Many applications and extensions of GC have been proposed since its formulation by Granger in 1969. Here we control for potentially mediating or confounding associations between time series in the context of event-related electrocorticographic (ECoG) time series. A pruning approach to remove spurious connections and simultaneously reduce the required number of estimations to fit the effective connectivity graph is proposed. Additionally, we consider the potential of adjusted GC applied to independent components as a method to explore temporal relationships between underlying source signals. Both …
A Unified Approach To Modeling Multivariate Binary Data Using Copulas Over Partitions,
2010
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
A Unified Approach To Modeling Multivariate Binary Data Using Copulas Over Partitions, Bruce J. Swihart, Brian Caffo, Ciprian Crainiceanu
Johns Hopkins University, Dept. of Biostatistics Working Papers
Many seemingly disparate approaches for marginal modeling have been developed in recent years. We demonstrate that many current approaches for marginal modeling of correlated binary outcomes produce likelihoods that are equivalent to the proposed copula-based models herein. These general copula models of underlying latent threshold random variables yield likelihood based models for marginal fixed effects estimation and interpretation in the analysis of correlated binary data. Moreover, we propose a nomenclature and set of model relationships that substantially elucidates the complex area of marginalized models for binary data. A diverse collection of didactic mathematical and numerical examples are given to illustrate …
The Generation Of Domestic Electricity Load Profiles Through Markov Chain Modelling,
2010
Technological University Dublin
The Generation Of Domestic Electricity Load Profiles Through Markov Chain Modelling, Aidan Duffy, Fintan Mcloughlin, Michael Conlon
Conference Papers
Micro-generation technologies such as photovoltaics and micro-wind power are becoming increasing popular among homeowners, mainly a result of policy support mechanisms helping to improve cost competiveness as compared to traditional fossil fuel generation. National government strategies to reduce electricity demand generated from fossil fuels and to meet European Union 20/20 targets is driving this change. However, the real performance of these technologies in a domestic setting is not often known as high time resolution models for domestic electricity load profiles are not readily available. As a result, projections in terms of reducing electricity demand and financial paybacks for these micro-generation …
Modeling Menstrual Cycle Length And Variability At The Approach Of Menopause Using Bayesian Changepoint Models,
2010
University of Michigan
Modeling Menstrual Cycle Length And Variability At The Approach Of Menopause Using Bayesian Changepoint Models, Xiaobi Huang, Michael R. Elliott, Sioban D. Harlow
The University of Michigan Department of Biostatistics Working Paper Series
As women approach menopause, the patterns of their menstruation cycle lengths change. To study these changes, we need to jointly model both the mean and variability of the cycle length. The model incorporates separate mean and variance change points for each woman and a hierarchical model to link them together, along with regression components to include predictors of menopausal onset such as age at menarche and parity. Data are from TREMIN, an ongoing 70-year old longitudinal study that has obtained menstrual calendar data of women throughout their reproductive life course. An additional complexity arises from the fact that these calendars …
