Applied Plant Science Experimental Design And Statistical Analysis Using Sasr Ondemand For Academics
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| Author | : Edward F. Durner |
| Publisher | : CABI |
| Total Pages | : 414 |
| Release | : 2021-05-19 |
| Genre | : Science |
| ISBN | : 1789249929 |
The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural production worldwide. The enormous number of design and analysis options available for correctly implementing, analysing and interpreting research can be overwhelming. SAS® is the most widely used statistical software in the world and SAS® OnDemand for Academics is now freely available for academic institutions. This is a user-friendly guide to statistics using SAS® OnDemand for Academics, ideal for facilitating the design and analysis of plant science experiments. It presents the most frequently used statistical methods in an easy-to-follow and non-intimidating fashion, and teaches the appropriate use of SAS® within the context of plant science research.
| Author | : Edward Francis Durner |
| Publisher | : |
| Total Pages | : |
| Release | : 2021 |
| Genre | : Botany |
| ISBN | : 9781789245998 |
"Presenting the most frequently used statistical methods for plant science in a non-intimidating fashion and teaching the appropriate use of SAS® within the context of plant science research, this book includes numerous examples and is a key resource for students and scientists undertaking statistical analysis and experimental design"--
| Author | : Trevor Raymond Morris |
| Publisher | : Cabi |
| Total Pages | : 226 |
| Release | : 1999 |
| Genre | : Medical |
| ISBN | : |
Experimental Design and Analysis in Animals Sciences is the first book to provide detailed instructions on the design and analysis of experiments in animals sciences. Not only does it provide descriptions of the statistics of experiment design, this guide-book contains examples and suggestions that help students in their decisions on which tools are appropriate for each circumstance. The subjects covered include interpretation of dose-response experiments, change-over designs, experiments with animals in pens and paddocks, and balanced and unbalanced designs. This book will be indispensable for any graduate or advanced undergraduate student in the animal sciences.
| Author | : Gary J. Burkholder |
| Publisher | : SAGE Publications |
| Total Pages | : 401 |
| Release | : 2019-07-26 |
| Genre | : Reference |
| ISBN | : 154434239X |
Research Design and Methods: An Applied Guide for the Scholar-Practitioner is written for students seeking advanced degrees who want to use evidence-based research to support their practice. This practical and accessible text addresses the foundational concepts of research design and methods; provides a more detailed exploration of designs and approaches popular with graduate students in applied disciplines; covers qualitative, quantitative, and mixed-methods designs; discusses ethical considerations and quality in research; and provides guidance on writing a research proposal.
| Author | : Brian J.S. Chee |
| Publisher | : CRC Press |
| Total Pages | : 290 |
| Release | : 2010-04-07 |
| Genre | : Business & Economics |
| ISBN | : 1439806179 |
Modern computing is no longer about devices but is all about providing services, a natural progression that both consumers and enterprises are eager to embrace. As it can deliver those services, efficiently and with quality, at compelling price levels, cloud computing is with us to stay. Ubiquitously and quite definitively, cloud computing is
| Author | : Nilanjan Dey |
| Publisher | : Springer |
| Total Pages | : 545 |
| Release | : 2017-08-14 |
| Genre | : Technology & Engineering |
| ISBN | : 331960435X |
This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.
| Author | : Jonathan M Jeschke |
| Publisher | : CABI |
| Total Pages | : 189 |
| Release | : 2018-04-25 |
| Genre | : Science |
| ISBN | : 1780647646 |
There are many hypotheses describing the interactions involved in biological invasions, but it is largely unknown whether they are backed up by empirical evidence. This book fills that gap by developing a tool for assessing research hypotheses and applying it to twelve invasion hypotheses, using the hierarchy-of-hypotheses (HoH) approach, and mapping the connections between theory and evidence. In Part 1, an overview chapter of invasion biology is followed by an introduction to the HoH approach and short chapters by science theorists and philosophers who comment on the approach. Part 2 outlines the invasion hypotheses and their interrelationships. These include biotic resistance and island susceptibility hypotheses, disturbance hypothesis, invasional meltdown hypothesis, enemy release hypothesis, evolution of increased competitive ability and shifting defence hypotheses, tens rule, phenotypic plasticity hypothesis, Darwin's naturalization and limiting similarity hypotheses and the propagule pressure hypothesis. Part 3 provides a synthesis and suggests future directions for invasion research.
| Author | : İlker Özçelik |
| Publisher | : CRC Press |
| Total Pages | : 423 |
| Release | : 2020-08-03 |
| Genre | : Computers |
| ISBN | : 1351817655 |
Distributed Denial of Service (DDoS) attacks have become more destructive, wide-spread and harder to control over time. This book allows students to understand how these attacks are constructed, the security flaws they leverage, why they are effective, how they can be detected, and how they can be mitigated. Students use software defined networking (SDN) technology to created and execute controlled DDoS experiments. They learn how to deploy networks, analyze network performance, and create resilient systems. This book is used for graduate level computer engineering instruction at Clemson University. It augments the traditional graduate computing curricula by integrating: Internet deployment, network security, ethics, contemporary social issues, and engineering principles into a laboratory based course of instruction. Unique features of this book include: A history of DDoS attacks that includes attacker motivations Discussion of cyber-war, censorship, and Internet black-outs SDN based DDoS laboratory assignments Up-to-date review of current DDoS attack techniques and tools Review of the current laws that globally relate to DDoS Abuse of DNS, NTP, BGP and other parts of the global Internet infrastructure to attack networks Mathematics of Internet traffic measurement Game theory for DDoS resilience Construction of content distribution systems that absorb DDoS attacks This book assumes familiarity with computing, Internet design, appropriate background in mathematics, and some programming skills. It provides analysis and reference material for networking engineers and researchers. By increasing student knowledge in security, and networking; it adds breadth and depth to advanced computing curricula.
| Author | : Ralph Stair |
| Publisher | : |
| Total Pages | : 544 |
| Release | : 2015-01-01 |
| Genre | : |
| ISBN | : 9781305634268 |
Equipping you with a solid understanding of the core principles of IS and how it is practiced, the brief FUNDAMENTALS OF INFORMATION SYSTEMS, 8E covers the latest developments from the field and their impact on the rapidly changing role of today's IS professional. A concise nine chapters, this streamlined book includes expansive coverage of mobile solutions, energy and environmental concerns, cloud computing, IS careers, virtual communities, global IS work solutions, and social networking. You learn firsthand how information systems can increase profits and reduce costs as you explore new information on e-commerce and enterprise systems, artificial intelligence, virtual reality, green computing, and other issues reshaping the industry. The book also introduces the challenges and risks of computer crimes, hacking, and cyberterrorism. A long-running example illustrates how technology was used in the design, development, and production of this book. No matter where your career path may lead, FUNDAMENTALS OF INFORMATION SYSTEMS, 8E can help you maximize your success as an employee, a decision maker, and a business leader.
| Author | : Ali Emrouznejad |
| Publisher | : Springer |
| Total Pages | : 492 |
| Release | : 2016-05-26 |
| Genre | : Technology & Engineering |
| ISBN | : 3319302655 |
The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book.
