Rutherford Model Books
Practical Business Forecasting
Author: Michael Evans
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: MM309
Topics: Business Forecasting, Linear Regression Model, Linear Model, Single-equation Regression Models, Distributed Lags, Dummy Variables, Nonlinear Regressions, Equation Stability, Equation Robustness, Smoothing Data, Time-series Decomposition Model, Linear Trends, Nonlinear Trends, Univariate Time-series Modeling, ARMA Model, Sales Forecasting, Long-term Forecasting, Macroeconomic Forecasting, Macroeconomic Model
Author: Sylvester Okotie, Bibobra Ikporo
School: Federal University of Petroleum Resources, Effurun
Department: Engineering
Course Code: PNG410
Topics: Reservoir Engineering, reservoir, reservoir geometry, phase envelope, unsteady flow, productivity index, relative permeability behavior, oil formation volume factor, hydrocarbon reserves, volumetric reserves estimation, contour, condensate reservoir calculation, water influx, aquifer influs, aquifer models, pot aquifer model, Schilthuis model, Hurst modified steady-state model, Van Everdingen moder, Carter-Tracy model, Fetkovich Aquifer model, material balance, reservoir drive mechanisms, gas cap expansion drive, rock compressibility, connate water expansion drive, gas drive reservoir, water drive reservoir, decline curve analysis, pressure regimes, fluid contacts, inflow performance relationship, history matching, pressure match, reservoir performance prediction
Operations research ,Second Edition
Author: Rama Murthy
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: MM411
Topics: Linear Programming Models, Resource Allocation Model, Simplex Method, Transportation Model, Assignment Model, Sequencing, Replacement Model, Inventory Control, Waiting Line Theory, Queuing Model, Competitive Stratagies, game theory, Dynamic Programming, Decision Theory, Simulation, Non-linear Programming, Programme Evaluation
Author: Brock LaMeres
School: University of Ilorin
Department: Engineering
Course Code: ELE542
Topics: VHDL constructs, modelling concurrent functionality, structural design, modeling sequential functionality, packages, test benches, modeling sequential storage, registers, modeling finite state machines, modeling counters, modeling memory, computer system design
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
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
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
Systems Analysis and Design, 5th edition An Object-Oriented Approach with UML
Author: Alan Dennis, Barbara Haley Wixom, David Tegarden
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: CIT303
Topics: system analysis, system design, system development life cycle, system development methodologies, object-oriented systems, object-oriented systems analysis and design, project management, feasibility analysis, project selection, project staffing, analysis modeling, structural modeling, business process, functional modeling, Behavioral Modeling, design modelling, data management layer design, Human–Computer Interaction Layer Design, Physical Architecture Layer Design, managing programming, unified modelling language
Econometric Analysis ,8th edition
Author: William Greene
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO454
Topics: Linear Regression Model, Econometrics, Least Squares Regression, Hypothesis Tests, Model Selection, Functional Form, Difference in Differences, Structural Change, Nonlinear Regression Models, Semiparametric Regression Models, Nonparametric Regression Models, Endogeneity, Instrumental Variable Estimation, Generalized Regression Model, Heteroscedasticity, Regression Equations, Estimation Frameworks, Estimation Methodology, Minimum Distance Estimation, Generalized Method of Moments, Maximum Likelihood Estimation, Simulation-Based Estimation, Inference, Random Parameter Models, Bayesian Estimation, Cross Sections, Panel Data, Microeconometrics, Binary Outcomes, Discrete Choices, Multinomial Choices, Event Counts, Limited Dependent Variables—Truncation, Censoring, Sample Selection, Time Series, Macroeconometrics, Serial Correlation, Nonstationary Data
Probability and Statistics, The Science of Uncertainty, 2nd Edition
Author: Michael Evans, Jeffrey Rosenthal
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: STA301
Topics: probability models, Conditional Probability, Venn diagram, Random Variables, Discrete Distributions, Continuous Distributions, Cumulative Distribution Functions, Joint Distributions, Simulating Probability Distributions, expectation, Inequalities, Jensen’s Inequality, Sampling Distributions, Limits, Central Limit Theorem, Monte Carlo Approximations, Normal Distribution Theory, Chi-Squared Distribution, Statistical Inference, statistical model, Data Collection, Finite Populations, Simple Random Sampling, Histograms, Survey Sampling, Descriptive Statistics, Plotting Data, Likelihood Inference, Maximum Likelihood Estimation, Distribution-Free Methods, Bayesian Inference, Bayesian Computations, Optimal Inferences, Optimal Unbiased Estimation, Optimal Hypothesis Testing, quantitative response, Simple Linear Regression Model, Bayesian Simple Linear Model, Multiple Linear Regression Model, Markov Chains, Gambler’s Ruin Problem, Markov Chain Monte Carlo, Martingales, Brownian Motion, Poisson Processes
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