the Nest of Students

Boominathan Adimoolam, Subhadeep Banerjee ... 274 pages - Publisher: Springer; (June, 2018) ... Language: English - ASIN: B07DMTL38L by Amazon

This book gathers selected proceedings of the annual conference of the Indian Geotechnical Society, and covers various aspects of soil dynamics and earthquake geotechnical engineering. The book includes a wide range of studies on seismic response of dams, foundation-soil systems, natural and man-made slopes, reinforced-earth walls, base isolation systems and so on, especially focusing on the soil dynamics and case studies from the Indian subcontinent. The book also includes chapters addressing related issues such as landslide risk assessments, liquefaction mitigation, dynamic analysis of mechanized tunneling, and advanced seismic soil-structure-interaction analysis. Given its breadth of coverage, the book offers a useful guide for researchers and practicing civil engineers alike.

Jian Qing Shi, Taeryon Choi ... 216 pages - Publisher: CRC; (July, 2011) .. Language: English - ISBN-10: 1439837732 - ISBN-13: 978-1439837733 ...

Geoff Der, Brian S. Everitt ... 246 pages - Publisher: SAS Institute; (December, 2015) ... Language: English - ISBN-10: 1629598437 - ISBN-13: 978-1629598437

Students and instructors of statistics courses using SAS University Edition will welcome this book. Learning fundamental statistics is essential to solving problems with SAS. Essential Statistics Using SAS University Edition demonstrates how to use SAS University Edition to apply a variety of statistical methodologies, from the simple to the not-so-simple, to a range of data sets. Learn how to apply the appropriate statistical method to answer a particular question about a data set, and correctly interpret the numerical results that you obtain. SAS University Edition users who are new to SAS or who need a refresher course will benefit from the statistics overview and topics, such as multiple linear regression, logistic regression, and Poisson regression.

Sabine Landau, Brian S. Everitt ... 366 pages - Publisher: Chapman and Hall/CRC; 1st edition (November, 2003) ... Language: English - ISBN-10: 1584883693 - ISBN-13: 978-1584883692 ...

A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of univariate and multivariate statistical analyses using the latest version of the Statistical Package for the Social Sciences, SPSS 11. Each chapter addresses a different type of analytical procedure applied to one or more data sets, primarily from the social and behavioral sciences areas. Each chapter also contains exercises relating to the data sets introduced, providing readers with a means to develop both their SPSS and statistical skills. Model answers to the exercises are also provided. Readers can download all of the data sets from a companion Web site furnished by the authors.

Welcome to my BIGGEST, most complete, Microsoft Excel course ever!: Excel is one of the most important skills in today’s job market. Having a solid working knowledge of Excel can improve your job performance, help you qualify for raises and promotions, or even help you land that new job that you deserve.

If you need to know Excel, you’re in the right place: This course [Size: 2.34GB] walks you through Excel from the very basics of opening Excel all the way to advanced Excel skills used by the pros, like pivot tables and macros. My goal with this course is to give you the skills you need to get that raise, promotion, or new job you deserve. This course was created using Excel 2016, but it is good for versions 2013 and 2010 as well. It was created for use with a PC (personal computer). Mac (Macintosh) users can still benefit from this course, but the course doesn’t cover Mac-specific keyboard shortcuts and interface. We’ll start at the very beginning, with opening and saving a worksheet in Excel: I’ll show you what all the tools do and walk you through each Excel skill that you need to know. I’ll show you how to enter and format your data and how to create charts, tables and pivot tables so you can organize and analyze your data. I’ll teach you amazing keyboard shortcuts to make your work faster and more productive. You’ll learn how to record macros so you can do a whole series of actions with the just click of a button. We’ll keep going until you’re a pro at Excel. When you finish this course, you’ll know more than most people who use Excel at their job every day.

Lulu Zhang, Jinhui Li, Xu Li, Jie Zhang, Hong Zhu ... 398 pages - Publisher: CRC Press; 1st edition (June, 2016) ... Language: English - ASIN: B01HELDDME by Amazon ..

.Rainfall-induced landslides are common around the world. With global climate change, their frequency is increasing and the consequences are becoming greater. Previous studies assess them mostly from the perspective of a single discipline—correlating landslides with rainstorms, geomorphology and hydrology in order to establish a threshold prediction value for rainfall-induced landslides; analyzing the slope’s stability using a geomechanical approach; or assessing the risk from field records. Rainfall Induced Soil Slope Failure: Stability Analysis and Probabilistic Assessment integrates probabilistic approaches with the geotechnical modeling of slope failures under rainfall conditions with unsaturated soil. It covers theoretical models of rainfall infiltration and stability analysis, reliability analysis based on coupled hydro-mechanical modelling, stability of slopes with cracks, gravels and spatial heterogenous soils, and probabilistic model calibration based on measurement. It focuses on the uncertainties involved with rainfall-induced landslides and presents state-of-the art techniques and methods which characterize the uncertainties and quantify the probabilities and risk of rainfall-induced landslide hazards. Additionally, the authors cover: The failure mechanisms of rainfall-induced slope failure - Commonly used infiltration and stability methods - The infiltration and stability of natural soil slopes with cracks and colluvium materials - Stability evaluation methods based on probabilistic approaches -The effect of spatial variability on unsaturated soil slopes and more.