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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

Reservoir Engineering

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

Quick Start Guide to VHDL

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

Atomic structure

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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