Model Books
Mathematical modelling of power systems
Author: Martins olubiwe
School: Federal University of Technology, Owerri
Department: Engineering
Course Code: EEE409
Topics: Mathematical modelling, state variable, control variable
Power system analysis,Equation and system modelling
Author: EEE
School: Federal University of Technology, Owerri
Department: Engineering
Course Code: EEE409
Topics: Power system analysis, Equation, system modelling
Communication Models for the Study of Mass Communications ,2nd edition
Author: Denis Mcquail, Sven Windahl
School: University of Ibadan
Department: Arts and Humanities
Course Code: CLA104
Topics: communication models, personal influence, mass communication, media organization, planned communication, new media, information scoiety, planned communication, international communication
Introduction to Syntactic Models
Author: BA Okolo
School: National Open University of Nigeria
Department: Arts and Humanities
Course Code: ENG221
Topics: Syntactic Models, language structure, English syntax, syntax analysis, Traditional Grammar, Traditional Grammar critique, Finite State Grammar, Phrase Structure Grammar, lexicon, phonology, syntax, semantics, Syntactic Component, Syntactic Rules, Parts of Speech, parsing, Concatenation, words, words relationship
Modelling binary data ,2nd edition
Author: David Collett
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Statistical inference, binary data, Modelling binary data, binomial data, Model checking, bioassay, Overdispersion, exact methods
Basic Econometrics ,Fifth Edition
Author: Damodar Gujarati, Dawn Porter
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: CC312
Topics: Single-Equation Regression Models, Regression Analysis.Two-Variable Regression Analysis, Two-Variable Regression Model, Classical Normal Linear Regression Model, Two-Variable Regression, Interval Estimation, Hypothesis Testing, Multiple Regression Analysis, Dummy Variable Regression Models, Multicollinearity, Heteroscedasticity, Autocorrelation, Econometric Modeling, Nonlinear Regression Model, Qualitative Response Regression Models, Panel Data Regression Models, Dynamic Econometric Models, Autoregressive Lag Models, Distributed-Lag Models, Simultaneous-Equation Models, Time Series Econometrics, Simultaneous-Equation Models, Identification Problem, Simultaneous-Equation Methods, Time Series Econometrics, Time Series Econometrics, Forecasting, econometrics
Basic econometrics Student solutions manual for use with Basic econometrics
Author: Damodar Gujarati, Dawn Porter
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: CC312
Topics: econometrics, Single-Equation Regression Models, Regression Analysis.Two-Variable Regression Analysis, Two-Variable Regression Model, Classical Normal Linear Regression Model, Two-Variable Regression, Interval Estimation, Hypothesis Testing, Multiple Regression Analysis, Dummy Variable Regression Models, Multicollinearity, Heteroscedasticity, Autocorrelation, Econometric Modeling, Nonlinear Regression Model, Qualitative Response Regression Models, Panel Data Regression Models, Dynamic Econometric Models, Autoregressive Lag Models, Distributed-Lag Models, Simultaneous-Equation Models, Time Series Econometrics, Simultaneous-Equation Models, Identification Problem, Simultaneous-Equation Methods, Time Series Econometrics, Time Series Econometrics, Forecasting
Author: Malcolm Payne
School: University of Ibadan
Department: Administration, Social and Management science
Course Code: SOW303
Topics: Social Work Theory, Social worker, Work, Psychodynamic Models, Crisis Intervention, Task-centred practice, Behavioural Models, Models, Systems, Ecological Models, Social Psychology, Humanist Models, Existential Models, Cognitive Models, Empowerment, Advocacy
Introduction to Linear Regression Analysis ,5th edition
Author: Elizabeth Peck, Geoffrey Vining, Douglas Montgomery
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Linear Regression Analysis, Regression, Model Building, Data Collection, Simple Linear Regression Model, Simple Linear Regression, Least-Squares Estimation, Hypothesis Testing, Interval Estimation, Multiple Regression Models, Multiple linear regression, Hypothesis Testing, Confidence Intervals, Standardized Regression Coefficients, Multicollinearity, Residual Analysis, model adequacy checking, Variance-Stabilizing Transformations, Generalized Least Squares, Weighted Least Squares, Regression Models, subsampling, Leverage, Measures of Influence, influence, Polynomial regression Models, Piecewise Polynomial Fitting, Nonparametric Regression, Kernel Regression, Locally Weighted Regression, Orthogonal Polynomials, Indicator Variables, Multicollinearity, Multicollinearity Diagnostics, Model-Building, regression models, Linear Regression Models, Nonlinear Regression Models, Nonlinear Least Squares, Logistic Regression Models, Poisson regression, Time Series Data, Detecting Autocorrelation, Durbin-Watson Test, Time Series Regression, Robust Regression, Inverse Estimation
Introduction to Linear Regression Analysis Solutions Manual for 5th edition
Author: Ann Ryan, Douglas Montgomery, Elizabeth Peck, Geoffrey Vining
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Linear Regression Analysis, Regression, Model Building, Data Collection, Simple Linear Regression Model, Simple Linear Regression, Least-Squares Estimation, Hypothesis Testing, Interval Estimation, Multiple Regression Models, Multiple linear regression, Hypothesis Testing, Confidence Intervals, Standardized Regression Coefficients, Multicollinearity, Residual Analysis, model adequacy checking, Variance-Stabilizing Transformations, Generalized Least Squares, Weighted Least Squares, Regression Models, subsampling, Leverage, Measures of Influence, influence, Polynomial regression Models, Piecewise Polynomial Fitting, Nonparametric Regression, Kernel Regression, Locally Weighted Regression, Orthogonal Polynomials, Indicator Variables, Multicollinearity, Multicollinearity Diagnostics, Model-Building, regression models, Linear Regression Models, Nonlinear Regression Models, Nonlinear Least Squares, Logistic Regression Models, Poisson regression, Time Series Data, Detecting Autocorrelation, Durbin-Watson Test, Time Series Regression, Robust Regression, Inverse Estimation
Departments
Administration, Social and Management science
Agriculture and Veterinary Medicine
Arts and Humanities
Education
Engineering
General studies
Law
Medical, Pharmaceutical and Health science
Science and Technology