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Networking Fundamentals
Networking Fundamentals

A clear and concise resource on Windows networking, perfect for IT beginners

Did you know that nearly 85% of IT support roles require a good understanding of networking concepts? If you are looking to advance your IT career, you will need a foundational understanding of Windows networking. Network...

Essentials of Mathematical Methods in Science and Engineering
Essentials of Mathematical Methods in Science and Engineering

A comprehensive introduction to the multidisciplinary applications of mathematical methods, revised and updated

The second edition of Essentials of Mathematical Methods in Science and Engineering offers an introduction to the key mathematical concepts of advanced calculus, differential equations, complex...

Advances in Questionnaire Design, Development, Evaluation and Testing
Advances in Questionnaire Design, Development, Evaluation and Testing

A new and updated definitive resource for survey questionnaire testing and evaluation

Building on the success of the first Questionnaire Development, Evaluation, and Testing (QDET) conference in 2002, this book brings together leading papers from the Second International Conference on Questionnaire Design,...

Discrete Mathematics With Algorithms
Discrete Mathematics With Algorithms
This first-year course in discrete mathematics requires no calculus or computer programming experience. The approach stresses finding efficient algorithms, rather than existential results. Provides an introduction to constructing proofs (especially by induction), and an introduction to algorithmic problem-solving. All algorithms are presented in...
Applied Statistics: Theory and Problem Solutions with R
Applied Statistics: Theory and Problem Solutions with R

Instructs readers on how to use methods of statistics and experimental design with R software 

Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds...

Introduction to Statistics Through Resampling Methods and R
Introduction to Statistics Through Resampling Methods and R
A highly accessible alternative approach to basic statistics Praise for the First Edition:  "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."?Technometrics 

Written in a
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Practical Signals Theory with MATLAB Applications
Practical Signals Theory with MATLAB Applications

Practical Signals Theory with MATLAB Applications is organized around applications, first introducing the actual behavior of specific signals and then using them to motivate the presentation of mathematical concepts.  Tervo sequences the presentation of the major transforms by their complexity:  first Fourier,...

Future Propulsion Systems and Energy Sources in Sustainable Aviation (Aerospace Series)
Future Propulsion Systems and Energy Sources in Sustainable Aviation (Aerospace Series)

A comprehensive review of the science and engineering behind future propulsion systems and energy sources in sustainable aviation

Future Propulsion Systems and Energy Sources in Sustainable Aviation is a comprehensive reference that offers a review of the science and engineering principles that underpin the...

Solutions Manual to accompany Nonlinear Programming: Theory and Algorithms
Solutions Manual to accompany Nonlinear Programming: Theory and Algorithms
As the Solutions Manual, this book is meant to accompany the main title, Nonlinear Programming: Theory and Algorithms, Third Edition. This book presents recent developments of key topics in nonlinear programming (NLP) using a logical and self-contained format. The volume is divided into three sections: convex analysis,...
Proportionate-type Normalized Least Mean Square Algorithms
Proportionate-type Normalized Least Mean Square Algorithms

The topic of this book is proportionate-type normalized least mean squares (PtNLMS) adaptive filtering algorithms, which attempt to estimate an unknown impulse response by adaptively giving gains proportionate to an estimate of the impulse response and the current measured error. These algorithms offer low computational complexity...

Simulation and Optimization in Finance: Modeling with MATLAB, @Risk, or VBA
Simulation and Optimization in Finance: Modeling with MATLAB, @Risk, or VBA
An introduction to the theory and practice of financial simulation and optimization

In recent years, there has been a notable increase in the use of simulation and optimization methods in the financial industry. Applications include portfolio allocation, risk management, pricing, and capital budgeting under uncertainty.

...
Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and...
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