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📒The Zero Waste Solution ✍ Paul Connett
✏The Zero Waste Solution Book Summary : Waste is something we all make every day but often pay little attention to. That's changing, and model programs around the globe show the many different ways a community can strive for, and achieve, zero-waste status. Scientist-turned-activist Paul Connett, a leading international figure in decades-long battles to fight pollution, has championed efforts to curtail overconsumption and keep industrial toxins out of our air and drinking water and bodies. But he’s best known around the world for leading efforts to help communities deal with their waste in sustainable ways—in other words, to eliminate and reuse waste rather than burn it or stow it away in landfills. In The Zero Waste Solution, Connett profiles the most successful zero-waste initiatives around the world, showing activists, planners, and entrepreneurs how to re-envision their community’s waste-handling process—by consuming less, turning organic waste into compost, recycling, reusing other waste, demanding nonwasteful product design, and creating jobs and bringing community members together in the process. The book also exposes the greenwashing behind renewed efforts to promote waste incinerators as safe, nontoxic energy suppliers, and gives detailed information on how communities can battle incineration projects that, even at their best, emit dangerous particles into the atmosphere, many of which remain unregulated or poorly regulated. An important toolkit for anyone interested in creating sustainable communities, generating secure local jobs, and keeping toxic alternatives at bay.
📒Elementary Bayesian Statistics ✍ Gordon Antelman
✏Elementary Bayesian Statistics Book Summary : Elementary Bayesian Statistics is a thorough and easily accessible introduction to the theory and practical application of Bayesian statistics. It presents methods to assist in the collection, summary and presentation of numerical data.Bayesian statistics are becoming an increasingly important and more frequently used method for analysing statistical data. The author defines concepts and methods with a variety of examples and uses a stage-by-stage approach to coach the reader through the applied examples. Also included are a wide range of problems to challenge the reader and the book makes extensive use of Minitab to apply computational techniques to statistical problems. Issues covered include probability, Bayes's Theorem and categorical states, frequency, the Bernoulli process and Poisson process, estimation, testing hypotheses and the normal process with known parameters and uncertain parameters.Elementary Bayesian Statistics will be an essential resource for students as a supplementary text in traditional statistics courses. It will also be welcomed by academics, researchers and econometricians wishing to know more about Bayesian statistics.
📒Foundations Of Predictive Analytics ✍ James Wu
✏Foundations of Predictive Analytics Book Summary : Drawing on the authors’ two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and marketing analytics, and other areas. It also discusses a variety of practical topics that are frequently missing from similar texts. The book begins with the statistical and linear algebra/matrix foundation of modeling methods, from distributions to cumulant and copula functions to Cornish–Fisher expansion and other useful but hard-to-find statistical techniques. It then describes common and unusual linear methods as well as popular nonlinear modeling approaches, including additive models, trees, support vector machine, fuzzy systems, clustering, naïve Bayes, and neural nets. The authors go on to cover methodologies used in time series and forecasting, such as ARIMA, GARCH, and survival analysis. They also present a range of optimization techniques and explore several special topics, such as Dempster–Shafer theory. An in-depth collection of the most important fundamental material on predictive analytics, this self-contained book provides the necessary information for understanding various techniques for exploratory data analysis and modeling. It explains the algorithmic details behind each technique (including underlying assumptions and mathematical formulations) and shows how to prepare and encode data, select variables, use model goodness measures, normalize odds, and perform reject inference. Web Resource The book’s website at www.DataMinerXL.com offers the DataMinerXL software for building predictive models. The site also includes more examples and information on modeling.
📒Basic Statistics ✍ Tenko Raykov
✏Basic Statistics Book Summary : Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using the powerful software program R.
📒Methods Matter ✍ Richard J. Murnane
✏Methods Matter Book Summary : Educational policy-makers around the world constantly make decisions about how to use scarce resources to improve the education of children. Unfortunately, their decisions are rarely informed by evidence on the consequences of these initiatives in other settings. Nor are decisions typically accompanied by well-formulated plans to evaluate their causal impacts. As a result, knowledge about what works in different situations has been very slow to accumulate. Over the last several decades, advances in research methodology, administrative record keeping, and statistical software have dramatically increased the potential for researchers to conduct compelling evaluations of the causal impacts of educational interventions, and the number of well-designed studies is growing. Written in clear, concise prose, Methods Matter: Improving Causal Inference in Educational and Social Science Research offers essential guidance for those who evaluate educational policies. Using numerous examples of high-quality studies that have evaluated the causal impacts of important educational interventions, the authors go beyond the simple presentation of new analytical methods to discuss the controversies surrounding each study, and provide heuristic explanations that are also broadly accessible. Murnane and Willett offer strong methodological insights on causal inference, while also examining the consequences of a wide variety of educational policies implemented in the U.S. and abroad. Representing a unique contribution to the literature surrounding educational research, this landmark text will be invaluable for students and researchers in education and public policy, as well as those interested in social science.
📒Between Heaven And Ground Zero ✍ Leslie Haskin
✏Between Heaven and Ground Zero Book Summary : A Second Chance at Life On the sunny morning of Tuesday, September 11, 2001, terrorists murdered more than twenty-seven hundred people in an attack on New York City. Thousands died when a hijacked Boeing 767 slammed into Tower One of the World Trade Center. It was first blood. For Leslie Haskin, it was a second chance at life. This is the riveting account of Leslie's harrowing escape--down 36 floors in a doomed and dying building and away from a life focused on perks, prestige, and power. The intervening months brought crippling mental and emotional distress, but from the rubble and ashes, the corporate climber rediscovered the faith of her childhood and now embraces a new life of serving others.
✏Business Two point zero Book Summary :
📒Number And Operations In Base Ten Leveled Problems Fractions Less Than One ✍ Linda Dacey, Ed.D.
✏Number and Operations in Base Ten Leveled Problems Fractions Less Than One Book Summary : Differentiate problem solving in your classroom using effective, research-based strategies. This lesson requires students to solve problems related to fractions less than one and number lines. The problem-solving mini-lesson guides teachers in how to teach differentiated lessons. The student activity sheet features a problem tiered at three levels.
📒Environmental Sampling And Analysis ✍ Lawrence H. Keith
✏Environmental Sampling and Analysis Book Summary : This concise book covers all the critical aspects of environmental sampling and analysis. Extensively peer-reviewed by scientists from the U.S. Environmental Protection Agency and other government agencies, industry and academia, it is packed with practical advice and tips from renowned experts. Planning, sampling, analysis, QA/QC, and reporting are discussed for air, water, solid liquid, and biological samples, with emphasis on the interdependence between sampling and analytical activities. Special requirements for sampling devices, containers, and preservatives are provided with convenient checklists for sampling plans and protocols. New and revised recommendations involving method detection levels, reliable detection levels, and levels of quantitation are discussed in conjunction with laboratory reports and user presentations of data near analytical detection limits. This is a valuable and comprehensive reference book for chemists, technicians, consultants, lawyers, regulators, engineers, quality control officers, news and information managers, teachers, and students.
📒Number And Operations With Fractions Leveled Problems Decimals And Number Lines ✍ Linda Dacey, Ed.D.
✏Number and Operations with Fractions Leveled Problems Decimals and Number Lines Book Summary : Differentiate problem solving in your classroom using effective, research-based strategies. This lesson focuses on solving problems related to decimals and number lines. The problem-solving mini-lesson guides teachers in how to teach differentiated lessons. The student activity sheet features a problem tiered at three levels.