Introduction to Chemical Engineering Analysis Using Mathematica: For Chemists, Biotechnologists and Materials Scientists (Foley Henry C.)(Paperback)

Introduction to Chemical Engineering Analysis Using Mathematica: For Chemists, Biotechnologists and Materials Scientists (Foley Henry C.)(Paperback)

Process Analysis and Simulation in Chemical Engineering (Gil Chaves Ivn Daro)(Pevná vazba)

Preface Chapter 1 Process Simulation in Chemical Engineering 1.1. Introduction 1.2. Chemical process simulators 1.3. Types of process simulators 1.3.1. Simultaneous or Equation oriented simulators 1.3.2. Hybrid simulators 1.3.3. Aspen Plus(R) and Aspen Hysys(R) 1.4. Applications of process

Vector and Tensor Analysis (Brand Louis)(Paperback)

An outstanding introduction to tensor analysis for physics and engineering students, this text admirably covers the expected topics in a careful step-by-step manner. In addition to the standard vector analysis of Gibbs, including dyadic or tensors of valence two, the treatment also supplies an

Excel Scientific and Engineering Cookbook: Adding Excel to Your Analysis Arsenal (Bourg David M.)(Paperback)

Given the improved analytical capabilities of Excel, scientists and engineers everywhere are using it--instead of FORTRAN--to solve problems. And why not? Excel is installed on millions of computers, features a rich set of built-in analyses tools, and includes an integrated Visual Basic for

An Introduction to Survival Analysis Using Stata, Revised Third Edition (Cleves Mario)(Paperback)

An Introduction to Survival Analysis Using Stata, Revised Third Edition is the ideal tutorial for professional data analysts who want to learn survival analysis for the first time or who are well versed in survival analysis but are not as dexterous in using Stata to analyze survival data. This text

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists (Zheng Alice)(Paperback)

Hands-On Introduction to LabVIEW for Scientists and Engineers (Essick John)(Paperback)

Departing from the style of typical manuals, Hands-On Introduction to LabVIEW for Scientists and Engineers, Fourth Edition, uses a learn-by-doing approach to guide students through using this powerful laboratory tool. It helps students--who are not assumed to have prior experience--master the

Essential Natural Plasters: A Guide to Materials, Recipes, and Use (Henry Michael)(Paperback)

Essential Natural Plasters is the most comprehensive guide to making and using natural plasters for all types of buildings. It covers clay, lime, and gypsum plasters; waterproof tadelakt plaster; fibers and additives; interior and exterior use; substrate preparation; mixing, testing, and tinting;

Data Analysis with Mplus (Geiser Christian)(Paperback)

A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to

Materials Modelling Using Density Functional Theory: Properties and Predictions (Giustino Feliciano)(Paperback)

This book is an introduction to the quantum theory of materials and first-principles computational materials modelling. It explains how to use density functional theory as a practical tool for calculating the properties of materials without using any empirical parameters. The structural,

Luminescence: Data Analysis and Modeling Using R (Pagonis Vasilis)(Paperback)

1. Introduction.- 2. Analysis and Modeling of TL Data.- 3. Analysis of Experimental OSL Data.- 4. Dose Response of Dosimetric Materials.- 5. Monte Carlo Simulations With Fixed Time Interval.- 6. Luminescence as a Stochastic Life-and-Death Process.- 7. Delocalized Transitions: The R Package

Data Analysis Using Regression and Multilevel Hierarchical Models (Gelman Andrew)(Paperback)

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing

Introduction to Environmental Engineering and Science: Pearson New International Edition (Masters Gilbert)(Paperback / softback)

Appropriate for undergraduate engineering and science courses in Environmental Engineering. Balanced coverage of all the major categories of environmental pollution, with coverage of current topics such as climate change and ozone depletion, risk assessment, indoor air quality,

Scientists Must Write: A Guide to Better Writing for Scientists, Engineers and Students (Barrass Robert)(Paperback)

Good writing and communication skills are essential in many areas of science and engineering, to help observation, thinking and remembering, to organize work and to avoid stress. Written by a scientist for scientists, this book is much more than a textbook of English grammar - it is a valuable

Introduction to Contextual Maths in Chemistry (Dickinson Fiona)(Paperback)

Mathermatics is the essential tool for physical scientists. We know that confidence in using mathematics early on in a chemistry degree builds a solid foundation for further study. However, applying the abstract mathematics taught in schools to chemical phenomena is one of the biggest challenges

Workshop Processes, Practices and Materials (Black Bruce J.)(Paperback)

Workshop Processes, Practices and Materials is an ideal introduction for entry level engineers and workshop technicians, as well as engineering university students with little or no practical experience. With detailed illustrations throughout and simple, clear language, this is a practical

Programming: Principles and Practice Using C++ (Stroustrup Bjarne)(Paperback)

An Introduction to Programming by the Inventor of C++ Preparation for Programming in the Real World The book assumes that you aim eventually to write non-trivial programs, whether for work in software development or in some other technical field. Focus on Fundamental Concepts and Techniques The

Applied Spatial Statistics and Econometrics: Data Analysis in R (Kopczewska Katarzyna)(Paperback)

This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal

Mathematical Techniques: An Introduction for the Engineering, Physical, and Mathematical Sciences (Jordan Dominic)(Paperback)

An Introduction to Random Vibrations, Spectral & Wavelet Analysis: Third Edition (Newland David Edward)(Paperback)

One of the first engineering books to cover wavelet analysis, this classic text describes and illustrates basic theory, with a detailed explanation of the workings of discrete wavelet transforms. Computer algorithms are explained and supported by examples and a set of problems, and an appendix

Text Analysis in Python for Social Scientists (Hovy Dirk)(Paperback)

Text is a fantastic resource for social scientists, but because it is so abundant, and so variable, it can be difficult to extract the information we want. Many basic text analysis methods are available as Python implementations: this Element will teach you when to use which method, how it works,

Malware Analysis and Detection Engineering: A Comprehensive Approach to Detect and Analyze Modern Malware (Mohanta Abhijit)(Paperback)

A one-stop solution for Malware Analysis, Reversing and Detection EngineeringCovers Binary Instrumentation, Windows ETW and Suricata IDS for malware detectionPresents hands-on lab solutions highlighting real world malware

Stochastic Analysis for Finance with Simulations (Choe Geon Ho)(Paperback)

This book is an introduction to stochastic analysis and quantitative finance; Stochastic Analysis for Finance with Simulations is designed for readers who want to have a deeper understanding of the delicate theory of quantitative finance by doing computer simulations in addition to theoretical

An Introduction to Functional Analysis (Robinson James C.)(Paperback)

This accessible text covers key results in functional analysis that are essential for further study in the calculus of variations, analysis, dynamical systems, and the theory of partial differential equations. The treatment of Hilbert spaces covers the topics required to prove the Hilbert-Schmidt