Variable Load Books
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
Introduction to Algorithms, 3rd Edition
Author: Thomas Cormen, Charles Leiserson, Ronald Rivest, Clifford Stein
School: University of Ibadan
Department: Science and Technology
Course Code: CSC242
Topics: Algorithms, Insertion sort, analyzing Algorithms, designing Algorithms, growth of functions, asymptotic notation, maximum-subarray problem, Strassen’s algorithm, Probabilistic Analysis, Randomized Algorithms, hiring problem, Indicator random variables, Heapsort, heaps, heapsort algorithm, Priority queues, quicksort, Radix sort, Counting sort, Bucket sort, Data Structures, Hash Tables, has function, open addressing, Perfect hashing, Data Structures, sorting order statistics, Binary Search Trees, Red-Black Trees, Augmenting Data Structures, Dynamic Programming, Greedy Algorithms, Amortized Analysis, B-Trees, Fibonacci Heaps, van Emde Boas Trees, Graph Algorithms, Minimum Spanning Trees, Single-Source Shortest Paths, All-Pairs Shortest Path, maximum flow, Multithreaded Algorithms, Matrix Operations, linear programming, polynomials, Number-Theoretic Algorithms, String Matching, Computational Geometry, NP-Completeness, Polynomial time, Approximation Algorithms
Introduction to the design and analysis of algorithms ,3rd edition
Author: Anany Levitin, Soumen Mukherjee, Arup Kumar Bhattacharjee
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, Algorithmic Problem Solving, Nonrecursive Algorithms mathematical analysis, recursive Algorithms mathematical analysis, Selection Sort, Bubble Sort, Sequential Search, Brute-Force String Matching, Closest-Pair Problems, Convex-Hull Problems, depth-First Search, Breadth-First Search, Insertion Sort, Topological Sorting, Variable-Size-Decrease Algorithms, Decrease-by-a-Constant-Factor Algorithms, binary search, Mergesort, quicksort, Binary Tree Traversals, Strassen’s Matrix Multiplication, Gaussian Elimination, presorting, Balanced Search Trees, Heaps, Heapsort, Horner’s Rule, Binary Exponentiation, Problem Reduction, B-Trees, hashing, Knapsack Problem, Optimal Binary Search Trees, Warshall’s Algorithm, Floyd’s Algorithm, Prim’s Algorithm, Kruskal’s Algorithm, Dijkstra’s Algorithm, Huffman Trees, huffman Codes, Simplex Method, Maximum-Flow Problem, Stable Marriage Problem, Lower-Bound Arguments, Decision Trees, Numerical Algorithms, Backtracking, Approximation Algorithms
Author: Mark Woodward
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Epidemiology, Assessing risk factors, risk, relative risk, analytical procedures, Confounding, interaction, Cohort studies, Case–control studies, Intervention studies, Sample size determination, Modelling quantitative outcome variables, Modelling binary outcome data, modelling, Modelling follow-up data, Meta-analysis, risk scores, clinical decision rules, Computer-intensive methods
Quantitative Methods in Psychology
Author: Benjamin Osayawe Ehigie
School: University of Ibadan
Department: Administration, Social and Management science
Course Code: PSY103
Topics: Psychology, statistics, data, variable, sampling, Sampling Techniques, Non-probability Sampling, Frequency Distribution, Cumulative Distributions, Measures of Central Tendency, Measures of Variability, transformed scores, Median Absolute Deviation, standard deviation
Author: Carl Simon, Lawrence Blume
School: University of Ibadan
Department: Administration, Social and Management science
Course Code: ECO341
Topics: ECONOMIC THEORY, CONSUMER CHOICE, One-Variable Calculus, LINEAR FUNCTIONS, NONLINEAR FUNCTIONS, COMPUTING DERIVATIVES, Calculus, DIFFERENTIABILITY, CONTINUITY, Chain Rule, Exponents, Logarithms, LINEAR SYSTEMS, Matrix, Matrices, Euclidean Spaces, VECTORS, PLANES, Linear Independence, Limits, Open Sets, Sets, Functions, DIRECTIONAL DERIVATIVES, GRADIENTS, LINEAR CONSTRAINTS, BORDERED MATRICES, Optimization, CONDITIONS, Homogeneous Functions, Homothetic Functions
Introduction to the mathematics of population
Author: Nathan Keyfitz
School: University of Ibadan
Department: Science and Technology
Course Code: STA342
Topics: population, stationary population model, recurrence equations, population projection, projection matrix, life tables, continous analysis, renewal equation, laplace transform, demographic variables, population time series, interpolation, graduation, finite approximation, population explosion, marriage model, probability models, life table functions, fertility functions, birth process, death process, sex ratio, population distribution, individual behavior, branching theory, population model, mathematical demography, future population, life table
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
Author: TFT UI
School: University of Ibadan
Department: Science and Technology
Course Code: TFT211
Topics: Food technology, Engineering units, Dimension, units, Dimensional Consistency, Unit Consistency, Process, Process Variables, density, Rotameter, Moles, Molecular weight, concentration, pressure, Atmospheric pressure, Absolute pressure, gauge pressure, temperature, Fluid pressure measurement, Moisture Content, mass balance, Laws of Conservation of Mass
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