Rutherford Atomic Models Books
Atomic structure lecture slide
Author: CHE156
School: University of Ibadan
Department: Science and Technology
Course Code: CHE156
Topics: JJ Thopmson, electric field, magnetic field, electron, Millikan oil experiment, proton, anode ray, atomic model, Rutherford experiment, Neutron, atomic number, mass number, relative atomic mass, mass spectrometer
Atomic and Nuclear Physics Lecture note
Author: Sampor
School: University of Ilorin
Department: Science and Technology
Course Code: PHY142
Topics: Atomic structure, Thompson model, Rutherford atomic theory, Bohr atomic theory, electron, cathode-ray oscilloscope, electron mass ratio, Millikan's experiment, Natural radioactivity, wave-particle duality of light, X-ray, Photoelectricity, thermionic emission, diode valve
SEMICONDUCTOR DEVICES TECHNOLOGY
Author: GA CHUKWUDEBE
School: Federal University of Technology, Owerri
Department: Engineering
Course Code: ECE405
Topics: semiconductor Devices, semiconductor transistor, metals, insulators, semiconductors, Semiconductor materials, Atomic structure, chemical bonds, Rutherford Atomic Models, Bohr Atomic Models, Electron energy levels, Energy bands, Atomic bonding, Intrinsic Semiconductors, Extrinsic Semiconductors, minority carriers, majority carriers, Mass action law
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: Ibrahim TT
School: University of Ilorin
Department: Science and Technology
Course Code: PHY141
Topics: atomic structure, Thompson's model, Rutherford's mode, Bohr's theory, Spectrum of the hydrogen atom
Generalized Linear Models ,2nd Edition
Author: McCullagh, John Nelder
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Generalized Linear Models, dilution assay, probit analysis, logit models, log-linear models, inverse polynomical, survival data, model fittinf, residuals, pearson residual, Anscombe residual, deviance residual, error structure, systemic component, aliasing, estimation, tables, binary data, binomial distribution, over-dispersion, measurement scales, multinomial distribution, likelihood functions, log-linear models, multiple responses, conditional likelihoods, hypergeometric distributions, Gamma distribution, Quasi-likelihood functions, dependent observations, optimal estimating functions, optimality criteria, model checking, survival data, dispersion
Introduction to atomic structure (continuation) with lecture exercise
Author: EN Dim
School: University of Nigeria, Nsukka
Department: Science and Technology
Course Code: CHM101
Topics: atomic structure, Mass Spectrometer, Quantum Theory, Dual Nature of Matter, Planck’s Theory, Photoelectric Effect, Atomic Spectrum, Mass Spectrometry, Isotope, Mass Number, Atomic Number, Emission Lines
Applied Econometrics ,2nd edition
Author: Dimitrios Asteriou, Stephen Hall
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO355
Topics: Applied Econometrics, Econometrics, Economic Data, Basic Data Handling, Simple Regression, Classical Linear Regression Model, Multiple Regression, Multicollinearity, Heteroskedasticity, Autocorrelation, Misspecification, Wrong Regressors, Measurement Errors, Wrong Functional Forms, Dummy Variables, Dynamic Econometric Models, Simultaneous Equation Models, Limited Dependent Variable Regression Models, Time Series Econometrics, ARIMA Models, Box–Jenkins Methodology, ARCH model, GARCH model, Vector Autoregressive Models, Causality Tests, Non-Stationarity Tests, Unit-Root Tests, Cointegration, Error-Correction Models, Solving Models, Panel Data Econometrics, Panel Data Models, Dynamic Heterogeneous Panels, Non-Stationary Panels, Econometric Software
An introduction to generalized linear models ,4th edition
Author: Annette Dobson, Adrian Barnett
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: generalized linear models, Model Fitting, Exponential Family, estimation, inference, normal linear models, Binary Variables, Logistic Regression, Nominal Logistic Regression, Ordinal Logistic Regression, Poisson Regression, Log-Linear Models, Survival Analysis, Clustered data, Longitudinal Data, Bayesian Analysis, Markov Chain Monte Carlo Methods
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