the Nest of Students

JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fourth Edition, is a complete and orderly introduction to analyzing data using JMP statistical discovery software from SAS. A mix of software manual and statistics text, this book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use JMP's intuitive interface for data analysis. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. Written by John Sall, Lee Creighton, and Ann Lehman, this book is a great tool for statistics students or practitioners needing a software-related statistics review.

Master the practice of designing structures with cross-laminated timber: This comprehensive guide explains the design standards, safety protocols, and codes and regulations engineers need to know to use cross-laminated timber as a structural building material. Featuring contributions from experts in the field, Cross-Laminated Timber Design: Structural Properties, Standards, and Safety introduces the material properties of CLT and goes on to cover the recommended lateral and vertical design techniques. You will get clear explanations of all relevant NDS, ASCE 7, and IBC provisions along with real-world examples and case studies. Sustainability and environmental issues are discussed in full detail.

Coverage includes: • An introduction to cross-laminated timber • Product standards for cross-laminated timber • Structural design―gravity • Structural design―lateral • Structural connections • Building envelope design with cross-laminated timber • Acoustics for CLT projects • Fire for CLT projects • Environmental aspects of CLT as a construction material • Sustainability of cross-laminated timber

Investigating Groundwater provides an integrated approach to the challenges associated with locating groundwater. Uniquely, the book provides a review of the wide range of techniques that can be deployed to investigate this important resource. Many of the practical examples given are based upon Australian experience but the methods have worldwide applicability. The book is published in colour and includes many original diagrams and photographs. Particular effort has been made to provide consistent terminology and SI units are used throughout the text

Investigating Groundwater starts with an introduction to the historical significance of groundwater and gives an account of climate change. A description of the occurrence of groundwater in different rock types is then provided. A detailed account of surface water techniques is then followed by an account of the interconnections between surface water and groundwater. Four chapters describing groundwater hydraulics are then followed by four chapters describing the latest geophysical techniques. Once the best location of a borehole is determined using these techniques; chapters then describe appropriate drilling methods to use; provide a wide ranging review of geophysical logging, hydrochemical and isotopic techniques, before concluding with a detailed description of groundwater flow to a well. Written for a worldwide audience of degree level geology/engineering practitioners, academics and students involved in groundwater resource investigation methods; Investigating Groundwater is essential reading for those involved in groundwater research.

This text combines the science and engineering of hydrogeology in an accessible, innovative style. As well as providing physical descriptions and characterisations of hydrogeological processes, it also sets out the corresponding mathematical equations for groundwater flow and solute/heat transport calculations. And, within this, the methodological and conceptual aspects for flow and contaminant transport modelling are discussed in detail. This comprehensive analysis forms the ideal textbook for graduate and undergraduate students interested in groundwater resources and engineering, and indeed its analyses can apply to researchers and professionals involved in the area.

Mechanics of Materials provides a precise presentation of subjects illustrated with numerous engineering examples that students both understand and relate to theory and application. The tried and true methodology for presenting material gives students the best opportunity to succeed in this course. From the detailed examples, to the homework problems, to the carefully developed solutions manual, instructors and students can be confident the material is clearly explained and accurately represented.

Self-Compacting Concrete: Materials, Properties and Applications presents the latest research on various aspects of self-compacting concrete, including test methods, rheology, strength and durability properties, SCC properties at elevated temperature, SC manufacturing with the use of SCMs, recycled aggregates and industrial by-products. Written by an international group of contributors who are closely associated with the development of self-compacting concrete, the book explores the main differences between SCC and normal concrete in terms of raw materials, fresh properties and hardened properties. Other topics discussed include the structure and practical applications of fiber reinforced SCC. Researchers and experienced engineers will find this reference to be a systematic source to SCC with its accounting of the latest breakthroughs in the field and discussions of SCC constructability, structural integrity, improved flows into complex forms, and superior strength and durability. Offers a systematic and comprehensive source of information on the latest developments in SCC technology + Includes mix design procedures, tests standards, rheology, strength and durability properties + Explores the properties and practical applications of SCC.

Through ten editions, Fox and McDonald's Introduction to Fluid Mechanics has helped students understand the physical concepts, basic principles, and analysis methods of fluid mechanics. This market-leading textbook provides a balanced, systematic approach to mastering critical concepts with the proven Fox-McDonald solution methodology. In-depth yet accessible chapters present governing equations, clearly state assumptions, and relate mathematical results to corresponding physical behavior. Emphasis is placed on the use of control volumes to support a practical, theoretically-inclusive problem-solving approach to the subject. Each comprehensive chapter includes numerous, easy-to-follow examples that illustrate good solution technique and explain challenging points. A broad range of carefully selected topics describe how to apply the governing equations to various problems, and explain physical concepts to enable students to model real-world fluid flow situations. Topics include flow measurement, dimensional analysis and similitude, flow in pipes, ducts, and open channels, fluid machinery, and more. To enhance student learning, the book incorporates numerous pedagogical features including chapter summaries and learning objectives, end-of-chapter problems, useful equations, and design and open-ended problems that encourage students to apply fluid mechanics principles to the design of devices and systems.

Indrajit Chowdhury, Shambhu P. Dasgupta ... 882 pages - Publisher: CRC Press; (December, 2008) ... Language: English - ISBN-10: 0415471451 - ISBN-13: 978-0415471459.

Designed to provide engineers with quick access to current and practical information on the dynamics of structure and foundation, this unique work, consisting of two separately available volumes, serves as a complete reference, especially for those involved with earthquake or dynamic analysis, or the design of machine foundations in the oil, gas, and energy sector. This first volume deals with theories and formulations, covering the full range of topics involved and dynamics of structure and foundation. It specifically focuses on a unified approach in dealing with dynamic soul-structure interaction and geotechnical considerations for dynamic soil-structure interaction. The authors present new insights and theories, such as the computation of Rayleigh damping for structures with a large number of degrees of freedom, and the dynamic analysis of Hammer foundations, considering non-classical soil damping.

In a clear style, this well-illustrated column addresses detailed topics, grouped in the following major themes: Elasticity and numerical methods in engineering + Lumped parameter vibration + Soil-structure systems under static load + Structural and soil dynamics. This reference and design guide is intended for academics and professionals in civil and structural engineering involved with earthquake or dynamic analysis or the design of machine foundations. In combination with the Applications book (volume 2), it could be used as course material for advanced university and professional education in structural dynamics, soil dynamics, analysis and design of machined foundations, and earthquake engineering.

Machine learning has gained tremendous popularity for its powerful and fast predictions with large datasets. However, the true forces behind its powerful output are the complex algorithms involving substantial statistical analysis that churn large datasets and generate substantial insight. This second edition of Machine Learning Algorithms walks you through prominent development outcomes that have taken place relating to machine learning algorithms, which constitute major contributions to the machine learning process and help you to strengthen and master statistical interpretation across the areas of supervised, semi-supervised, and reinforcement learning. Once the core concepts of an algorithm have been covered, you’ll explore real-world examples based on the most diffused libraries, such as scikit-learn, NLTK, TensorFlow, and Keras. You will discover new topics such as principal component analysis (PCA), independent component analysis (ICA), Bayesian regression, discriminant analysis, advanced clustering, and gaussian mixture.

By the end of this book, you will have studied machine learning algorithms and be able to put them into production to make your machine learning applications more innovative. What you will learn: Study feature selection and the feature engineering process + Assess performance and error trade-offs for linear regression + Build a data model and understand how it works by using different types of algorithm + Learn to tune the parameters of Support Vector Machines (SVM) + Explore the concept of natural language processing (NLP) and recommendation systems + Create a machine learning architecture from scratch. Who this book is for: Machine Learning Algorithms is for you if you are a machine learning engineer, data engineer, or junior data scientist who wants to advance in the field of predictive analytics and machine learning. Familiarity with R and Python will be an added advantage for getting the best from this book.