Experimental Methods for Science and Engineering Students: An Introduction to the Analysis and Presentation of Data (Kirkup Les)(Pevná vazba)

Experimental Methods for Science and Engineering Students: An Introduction to the Analysis and Presentation of Data (Kirkup Les)(Pevná vazba)

Responding to the developments of the past twenty years, Les Kirkup has thoroughly updated his popular book on experimental methods, while retaining the extensive coverage and practical advice from the first edition. Many topics from that edition remain, including keeping a record of work, how to

Quantitative Social Science: An Introduction (Imai Kosuke)(Paperback)

An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little

Introduction to Rocket Science and Engineering (Taylor Travis S.)(Pevná vazba)

Introduction to Rocket Science and Engineering, Second Edition, presents the history and basics of rocket science, and examines design, experimentation, testing, and applications. Exploring how rockets work, the book covers the concepts of thrust, momentum, impulse, and the rocket equation, along

An Introduction to Categorical Data Analysis (Agresti Alan)(Pevná vazba)

A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers

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

Geographical Data Science and Spatial Data Analysis: An Introduction in R (Comber Lex)(Pevná vazba)

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected some-where - and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges

Applications and Techniques for Experimental Stress Analysis (Karuppasamy Karthik Selva Kumar)(Pevná vazba)

Examines how experimental stress analysis supports the development and validation of analytical and numerical models, the progress of phenomenological concepts, the measurement and control of system parameters under working conditions, and identification of sources of failure or

Foundations of Data Science (Blum Avrim)(Pevná vazba)

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques

Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data (Friendly Michael)(Pevná vazba)

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and

Nuclear Magnetic Resonance Spectroscopy: An Introduction to Principles, Applications, and Experimental Methods (Lambert Joseph B.)(Pevná vazba)

Introduction to Frame Analysis: First and Second Order Theories (Toniolo Giandomenico)(Pevná vazba)

This textbook presents the principal methods of stress analysis for the design of frame structures, beginning with a description of the basic criteria for probabilistic safety verification used in modern codes. The Force Method and the Displacement Method are dealt with, together with their

Understanding Cryptography: A Textbook for Students and Practitioners (Preneel Bart)(Pevná vazba)

This book is uniquely designed for students of engineering and applied computer science, and engineering practitionersAuthors' website (http: //www.crypto-textbook.com/) provides extensive notes, slides, video lecturesAuthors' YouTube channel (https:

Introduction to Food Engineering (Singh R Paul (University of California Davis))(Pevná vazba)

Long recognized as the bestselling textbook for teaching food engineering to food science students, this 5e transitions with today's students from traditional textbook learning to integrated presentation of the key concepts of food engineering. Using carefully selected examples, Singh and Heldman

Cultural Analytics (Manovich Lev)(Pevná vazba)

A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on

Quantitative Social Science: An Introduction in Stata (Imai Kosuke)(Paperback)

The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in

Numerical Methods (Gautam Arvind Pragati)(Pevná vazba)

Designed to work as a first introduction to numerical analysis and numerical methods for undergraduate students, the authors have utilized their wide experience of teaching these subjects by incorporating the small details that a beginner might find difficult to understand. The book takes the

A Student's Guide to Dimensional Analysis (Lemons Don S.)(Paperback)

This introduction to dimensional analysis covers the methods, history and formalisation of the field, and provides physics and engineering applications. Covering topics from mechanics, hydro- and electrodynamics to thermal and quantum physics, it illustrates the possibilities and limitations of

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

Qualitative and Mixed Methods Data Analysis Using Dedoose: A Practical Approach for Research Across the Social Sciences (Salmona Michelle Suzanne)(Paperback)

Qualitative and Mixed Methods Data Analysis Using Dedoose(R) A Practical Approach for Research Across the Social Sciences by Michelle Salmona, Eli Lieber, Dan Kaczynski provides both new and experienced researchers with a guided introduction to dealing with the methodological complexity of mixed

Introduction to Meta-Analysis (Borenstein Michael)(Pevná vazba)

A clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. The first edition of this text was widely acclaimed for the clarity of the presentation, and quickly established itself as the definitive text in this field. The fully updated

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

Philosophy of Science for Scientists (Johansson Lars-Gran)(Pevná vazba)

This textbook offers an introduction to the philosophy of science. It helps undergraduate students from the natural, the human and social sciences to gain an understanding of what science is, how it has developed, what its core traits are, how to distinguish between science and pseudo-science and

Principles of Fusion Energy: An Introduction to Fusion Energy for Students of Science and Engineering (Harms Archie A.)(Paperback)

This textbook accommodates the two divergent developmental paths which have become solidly established in the field of fusion energy: the process of sequential tokamak development toward a prototype and the need for a more fundamental and integrative research approach before costly design choices

Fundamentals of Brain Network Analysis (Fornito Alex)(Pevná vazba)

Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain