Dna Analysis Books
Author: John Temitope Ogbiti
School: Edo University
Department: Science and Technology
Course Code: CSC233
Topics: systems development life cycle, System Development Methodology, Rapid Application Development, Throwaway Prototyping, Agile development, Extreme Programming, project, project management, project estimation, Project Work plan, Gantt Chart, Pert Chart, Computer-aided software engineering, problem analysis, Root Cause Analysis, Business Process Improvement, Joint Application Development
Elementary numerical analysis, 3rd edition
Author: Samuel Daniel Conte, Carl de Boor
School: Edo University
Department: Science and Technology
Course Code: CMP315
Topics: numerical analysis, number system, interpolation, Fixed-Point Iteration, Polynomial Equations, Real Roots, Complex Roots, Müller’s Method, Triangular Factorization, Determinants, Eigenvalue Problem, Backward-Error Analysis, determinants, Unconstrained Optimization, approximation, data fitting, Orthogonal Polynomials, Fast Fourier Transforms, Piecewise-Polynomial Approximation, differentiation, integration, numerical differentiation, numerical integration, Romberg Integration, Simple Difference Equations, Boundary Value Problems
Electrical Engineering analysis summary
Author: EEE
School: Federal University of Technology, Owerri
Department: Engineering
Course Code: EEE409
Topics: computer aided power system analysis, microcomputer applications, computer studies, power flow analysis
Numerical Analysis ,3rd edition
Author: Shanker Rao
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: MTH222
Topics: Numerical Analysis, errors, algebraic equations, transcendental equations, finite differences, interpolation, central difference interpolation formulae, inverse interpolation, numerical differentiation, numerical integration, curve fitting, Eigen values, Eigen vectors, Regression analysis
Author: Solomon Olalekan Akinola
School: University of Ibadan
Department: Science and Technology
Course Code: CSC236
Topics: Algorithm Design, Algorithm Analysis, Algorithm, Problem Solving Techniques, Recursion, Recursive Fibonacci Series, Sorting Techniques, Sorting Techniques, Searching Techniques, Linear Search, Sequential Search, Runtime Analysis, Big ‘O’ Notation, O-Notation, Insertion Sort, Divide and Conquer Algorithm, Merge Sort Algorithm, Quicksort Algorithm, Partitioning, Recursion-Tree Method, Master Theorem, Master method
Introduction to the design and analysis of algorithms ,3rd edition solutions manual
Author: Thomas Cormen, Charles Leiserson, Ronald Rivest, Clifford Stein
School: University of Ibadan
Department: Science and Technology
Course Code: CSC242
Topics: algorithm design, algorithm analysis, Algorithm Efficiency, Algorithm Efficiency analysis, Brute Force, Exhaustive Search, Decrease-and-Conquer, Divide-and-Conquer, Transform-and-Conquer, Space and Time Trade-Offs, Dynamic Programming, Greedy Technique, Iterative Improvement, Algorithm Power
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
An Introduction to Statistical Methods and Data Analysis, Seventh Edition
Author: Lyman Ott, Michael Longnecker
School: University of Ilorin
Department: Science and Technology
Course Code: STA124, STA131, STA204, STA224, STA351, ECN414, STA433
Topics: Experimental Studies, Data Description, Probability, Probability Distributions, Population Central Values, inference, Multiple Comparisons, Categorical Data, Linear Regression, Correlation, Multiple Regression, General Linear Model, Analysis of Variance, Analysis of Covariance, Split-Plot, Repeated Measures, Crossover Designs
Author: CHM UNN
School: University of Nigeria, Nsukka
Department: Science and Technology
Course Code: CHM171
Topics: salt analysis, qualitative analysis
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