The.Hottest

Chieh-Chen Bowen - 520 pages - Language: English - Publisher: ‎SAGE Publications; 2nd Edition (September, 2021).

Written in an accessible and clear manner, Straightforward Statistics with Excel 2nd Edition by Chieh-Chen Bowen helps students across the social and behavioral sciences gradually build their skills to develop a better understanding of the world around them. Each chapter purposefully connects with the previous chapter for a gradual accrual of knowledge from simple to more complex concepts. This effective, cumulative approach to statistics through logical transitions eases students into statistics and prepares them for success in more advanced quantitative coursework and their own research. The second edition now features Excel instructions and exercises throughout so students can use this widely-available and applied software for statistics.

This book is designed to walk the reader through statistics at a steady but gentle pace, providing pop quizzes throughout every chapter so readers can check their knowledge along the way. By gradually stepping up difficulty in each chapter, students generate a solid foundation and are prepared for the next chapters. Straightforward Statistics with Excel looks at the big picture so that the basic statistical concepts connect to everyday and relevant research examples in multiple ways. Throughout the book the reader is reminded of what they need to be able to recall with "You Must Remember This" boxes. A rich source of practical resources are located at the end of chapters beginning with " What You Learned," followed by three sets of exercises so students can immediately apply their knowledge.

The new edition features a reorganized presentation of material, starting with measures of central tendency, separating this from measures of variability so students better understand the differences. A more thorough presentation of one-sample and dependent samples t-tests gives students a stronger foundation in these crucial tests in statistics. New examples and studies complete the update, with a focus on simplicity. Throughout, the book makes use of Excel instructions and screenshots so students can take statistics with them through research projects and into the world beyond academia.

Helmut Vonhoegen - 910 pages - Language: ‎English - Publisher: Rheinwerk Computing; (Novomber, 2025).


If you’re using Excel, this is the all-in-one manual you need -brimming with solutions for every conceivable task! Learn how to design tables, use formulas to perform calculations, create analyses, graphically present your data, and share your results. With detailed coverage of both basic functions and advanced features, this book provides guidance for beginners and serves as a reliable reference if you’re already familiar with Excel. Up to date for Excel 2024 and Microsoft 365!

Your A-to-Z guide to Microsoft Excel + Master basic features, data analysis, visualizations, and more. + Work with formulas, table functions, and VBA.

Excel Fundamentals: Follow a workflow that guides you through Excel’s user interface, introduces basic concepts, and demonstrates the core features for working with tables, diagrams, and files.

All Your Excel Tasks: Dive into everything Excel has to offer. Master spreadsheet functions, formula usage, and table design. Get step-by-step instructions for analyzing, visualizing, and publishing your data; then see how to automate and customize your tasks with macros and VBA.

Practical Examples: See Excel’s features in action. Detailed examples and annotated screenshots guide you through each and every spreadsheet function, table design and analysis, data model management, and more.

Alam Singh - 470 pages - Language: ‎English - Publisher: ‎CBS Publishers; (March, 2014).


It covers fundamentals of soil mechanics and foundation engineering with a lot of solved problems routine laboratory tests and also objective-type question bank. It covers the syllabus generally prescribed at the Bachelors level the AMIE examination and the regional and central services competitions.

Debashis Moitra - 1088 pages - Language: ‎English - Publisher: ‎Universities Press (India); (September, 2018).


Geotechnical Engineering combines in a single book, the theoretical aspects (Soil Mechanics) as well as the applications (Foundation Engineering). The author, with his long experience of undergraduate teaching, felt the need for a comprehensive textbook on Geotechnical Engineering that would efficiently cater to all the basic requirements of undergraduate students and proceeded to fill the gap.

The lucid explanations in the book are strengthened by: • extensive use of figures and graphs, • citing of examples, even from fields outside Geotechnical Engineering, • for better understanding of the basic ideas and principles, • solved numerical problems carefully designed to strengthen understanding, • inclusion of emerging areas of Geotechnical Engineering such as geosynthesis, • geotechnical earthquake engineering and environmental geotechniques.

Nishantha Bandara, Manjriker Gunaratne - 145 pages - Language: ‎English - Publisher: ‎Momentum Press; (February, 2018).


Familiarity with geotechnical aspects of pavement engineering is essential for the practicing pavement engineer. When designing pavements, accurate characterization of the existing subgrade condition becomes a crucial task. In the past, traditional geotechnical exploration and testing methods have been used to characterize existing subgrade conditions. However, with the introduction of the Mechanistic-Empirical (ME) pavement design, there is a need for improved and more appropriate methods of subgrade characterization, for prediction of future pavement conditions with better accuracy. Hence, this handbook will present a useful tool for practicing pavement engineers.

Charles Kliche - 376 pages - Language: ‎English - Publisher: ‎the Society for Mining, Metallurgy, and Exploration, Inc.; (August, 2018).

This book focuses on rock slope stability, with sections on geological data collection, geotechnical data collection and analysis, surface water and groundwater effects, kinematic and kinetic stability analysis, rock slope stabilization techniques, and rock slope instrumentation and monitoring.

Because of the discontinuous nature of rock, the design of stable rock slopes is as much an art as it is applied engineering. Experience can only be achieved from the proper utilization of these theories of soil and rock mechanics, structural geology, and hydrology.

Rock Slope Stability is invaluable for engineering geologists, geotechnical engineers, mining engineers, civil engineers, and mine managers- as well as anyone else dedicated to engineering slopes that are stable and safe and that enable a financial return.

Michael Paluszek, Stephanie Thomas - 472 pages - Language: ‎English - Publisher :‎ Apress; 3rd edition (March, 2024).


Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular problem and follow the steps in the solution.

This book has something for everyone interested in machine learning. It also has material that will allow those with an interest in other technology areas to see how machine learning and MATLAB can help them solve problems in their areas of expertise. The chapter on data representation and MATLAB graphics includes new data types and additional graphics. Chapters on fuzzy logic, simple neural nets, and autonomous driving have new examples added. And there is a new chapter on spacecraft attitude determination using neural nets. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow you to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.

What You Will Learn:
Write code for machine learning, adaptive control, and estimation using MATLAB + Use MATLAB graphics and visualization tools for machine learning + Become familiar with neural nets + Build expert systems + Understand adaptive control + Gain knowledge of Kalman Filters.

Tanvir Mustafy, Tauhid Rahman, Nafisa Siddiqui - 902 pages - Language: ‎English - Publisher: ‎CRC Press; (December, 2024).

This book provides a concise overview of a variety of techniques for analyzing statistical, scientific, and financial data, using MATLAB to integrate several approaches to data analysis and statistics.

The chapters offer a broad review of computational data analysis, illustrated with many examples and applications. Topics range from the basics of data and statistical analysis to more advanced subjects such as probability distributions, descriptive and inferential statistics, parametric and non-parametric tests, correlation, and regression analysis. Each chapter combines theoretical concepts with practical MATLAB applications and includes practice exercises, ensuring a comprehensive understanding of the material.

With coverage of both basic and more complex ideas in applied statistics, the book has broad appeal for undergraduate students up to practicing engineers.

Tanvir Mustafy, Tauhid Rahman - 281 pages - Language: ‎English - Publisher: ‎Springer; (January, 2024).

This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs - Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses,and apply them to their research or professional fields.

The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.

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