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Statistical Estimation Spatial Image Restoration Books

Biodiversity

Author: Christian Leveque, Jean-Claude Mounolou

School: National Open University of Nigeria

Department: Agriculture and Veterinary Medicine

Course Code: AFM505

Topics: Biodiversity, genetic diversity, mutation, variation, Hidden genetic diversity, phenotypic identity, speciation, Extinctions, predation, Holling model, Patch dynamics, Spatial heterogeneity, temporal variability, Northern European terrestrial systems, Paleoenvironments, tropical rainforests, biological diversity, Continental aquatic systems, Overexploitation, Land use, Human onchocerciasis, Malaria, Morbilliviruses, Haemorrhagic fever viruses, antibiotic resistance, pesticide resistance, Genetic resources, biotechnology, Transgenesis, Ornamental plants, ornamental animals, ecotourism, National parks, Marine environments, Ex situ conservation, Botanic gardens, Zoological parks, conservation biology, Restoration ecology, species reintroduction

Geometric, Physical, and Visual Optics

Author: Michael Keating

School: University of Ilorin

Department: Medical, Pharmaceutical and Health science

Course Code: OPT215

Topics: Optics, Light, Vision, The Geometric Behavior Of Light, Optical Objects, Images, Thin Lenses, Ray Diagrams, Thin Lens Equations, Thin Lens Eye Models, Single Spherical Refracting Interfaces, Plane Refracting Interfaces, Reduced Systems, Lenses, Astigmatism: On Axis, Prisms, Prism Properties Of Lenses, Prism, Dioptric Power In Off-Axis Meridians, Reflection, The Gauss System, System Matrices, Angular Magnification, Spectacle Magnification, Relative Spectacle Magnification, Stops, Aberrations, Waves, Superposition, Diffraction, Scattering, Absorption, Dispersion, Polarization, Emission, Absorption, Photons, Lasers, Spatial Distribution Of Optical Information

Statistics lecture note

Author: STS FUNAAB

School: Federal University of Agriculture, Abeokuta

Department: Science and Technology

Course Code: STS101

Topics: Statistics, Scientific Method, Statistical Thinking, statistical concepts, statistical data

Schaums outline of theory and problems of statistics and econometrics ,2nd edition

Author: Derrick Reagle, Dominick Salvatore

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO450

Topics: statistics, econometrics, Descriptive Statistics, Frequency Distributions, Measures of Central Tendency, Measures of Dispersion, Probability, Probability Distributions, Discrete Probability Distributions, Binomial Distribution, Poisson Distribution, Continuous Probability Distributions, The Normal Distribution, Statistical Inference, Estimation, Sampling, Sampling Distribution, Statistical Inference, Testing Hypothesis, Analysis of Variance, Chi-Square Test, Nonparametric Testing, Simple Regression Analysis, Two-Variable Linear Model, Ordinary Least-Squares Method, Ordinary Least-Squares Estimators, Multiple Regression Analysis, Three-Variable Linear Model, Coefficient of Multiple Determination, Partial-Correlation Coefficients, Matrix Notation, Functional Form, Regression Analysis, Dummy Variables, Distributed Lag Models, Forecasting, Binary Choice Models, Multicollinearity, Heteroscedasticity, Autocorrelation, Simultaneous-Equations Methods, Time-Series Methods, ARMA

An Introduction to Probability and Statistics, Third Edition

Author: Vijay Rohatgi, AK. Md. Ehsanes Saleh

School: University of Ilorin

Department: Science and Technology

Course Code: STA124

Topics: Probability, Random Variables, Probability Distributions, Moments, Generating Functions, Multiple Random Variables, Degenerate Distribution, Two-Point Distribution, Uniform Distribution on n Points, Sample Statistics, Random Sampling, Basic Asymptotics, Large Sample Theory, Parametric Point Estimation, Neyman–Pearson Theory, Hypotheses Testing, Confidence Estimation, General Linear Hypothesis, Nonparametric Statistical Inference

Mathematical Statistics with Applications,First Edition

Author: Kandethody Ramachandran, Chris Tsokos

School: Federal University of Technology, Minna

Department: Science and Technology

Course Code: STA117

Topics: Descriptive Statistics, Probability Theory, Sampling Distributions, point estimation, interval estimation, hypothesis testing, linear regression models, Analysis of Variance, Bayesian Estimation, Inference, nonparametric test, empirical method, set theory

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

Introduction to the Theory of Statistics Solutions Manual

Author: Alexander McFarlane Mood, Franklin Graybill, Duane Boes

School: University of Ilorin

Department: Science and Technology

Course Code: STA124

Topics: probability, random variables, distribution function, expectation, moments, chebyshev inequality, Jensen inequality, univariate distribution, discrete distribution, continuous distribution, comments, joint distribution function, conditional distribution, stochastic independence, covariance, correlation, distribution of function, sampling, sampling distribution, sample mean, order statistics, parametric point estimation, point estimators, sufficiency, unbiased estimation, location invariance, scale invariance, Bayes estimator, vector of parameters, parametric interval estimation, confidence interval, test of hypothesis, loss function, Chi-square test, linear model, Nonparametric method, tolerance limit

Introduction to the theory of statistics, Third edition

Author: Alexander McFarlane Mood, Franklin Graybill, Duane Boes

School: University of Ilorin

Department: Science and Technology

Course Code: STA124

Topics: probability, random variables, distribution function, expectation, moments, chebyshev inequality, Jensen inequality, univariate distribution, discrete distribution, continuous distribution, comments, joint distribution function, conditional distribution, stochastic independence, covariance, correlation, distribution of function, sampling, sampling distribution, sample mean, order statistics, parametric point estimation, point estimators, sufficiency, unbiased estimation, location invariance, scale invariance, Bayes estimator, vector of parameters, parametric interval estimation, confidence interval, test of hypothesis, loss function, Chi-square test, linear model, Nonparametric method, tolerance limit

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