The.Hottest

Monday, October 08, 2018 , , ,
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.
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Friday, October 05, 2018 , ,
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.
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Thursday, October 04, 2018 , , ,
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.
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Thursday, October 04, 2018 , , ,
Samprit Chatterjee, Ali S. Hadi ... 424 pages - Publisher: Wiley; 5th edition (September, 2012) ... Language: English - ISBN-10: 0470905840 - ISBN-13: 978-0470905845...

Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however,requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics,transformation, multicollinearity, logistic regression, and robust regression. The book now includes a new chapter on the detection and correction of multicollinearity, while also showcasing the use of the discussed methods on newly added data sets from the fields of engineering, medicine, and business. The Fifth Edition also explores additional topics, including: Surrogate ridge regression * Fitting nonlinear models * Errors in variables * ANOVA for designed experiments. Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions, the required assumptions, and the evaluated success of each technique.Additionally, methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R.
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Wednesday, October 03, 2018 , , ,
Mohammed M. Alani, Hissam Tawfik, Mohammed Saeed, Obinna Anya ... 214 pages - Publisher: Springer; 1st edition (July, 2018) ... Language: English - ASIN: B07FP1J69L by Amazon ...

This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery.
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Monday, October 01, 2018 , , ,
Aaron R. Bradley ... 238 pages -Publisher: Springer; (October, 2011) ... Language: English - ISBN-10: 3642233023 - ISBN-13: 978-3642233029

To learn to program is to be initiated into an entirely new way of thinking about engineering, mathematics, and the world in general. Computation is integral to all modern engineering disciplines, so the better you are at programming, the better you will be in your chosen field. The author departs radically from the typical presentation by teaching concepts and techniques in a rigorous manner rather than listing how to use libraries and functions. He presents pointers in the very first chapter as part of the development of a computational model that facilitates an ab initio presentation of subjects such as function calls, call-by-reference, arrays, the stack, and the heap. The model also allows students to practice the essential skill of memory manipulation throughout the entire course rather than just at the end. As a result, this textbook goes further than is typical for a one-semester course -- abstract data types and linked lists, for example, are covered in depth. The computational model will also serve students in their adventures with programming beyond the course: instead of falling back on rules, they can think through the model to decide how a new programming concept fits with what they already know. The book is appropriate for undergraduate students of engineering and computer science, and graduate students of other disciplines. It contains many exercises integrated into the main text, and the author has made the source code available online.
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