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The Future of Cultural Analysis : A Critical Inquiry
Across the humanities and the social sciences, “cultural analysis” is a vibrant research practice.Since its introduction in the 1990s, its main principles have remained largely the same: interdisciplinarity, political urgency, a heuristic use of concepts, the detailed analysis of objects of culture, and an awareness of the scholar’s situatedness in the present.But is the practice still suited to the spiraling of social, political, and environmental crises that mark our time?Drawing on experiences in research, teaching, activism, and the creative arts, contributors explore what cultural analysis was back then, what it is now, and what it may be by 2034.In a shifting conjuncture, contributors strike notes of discomfort, defiance, and irony—as well as a renewed sense of urgency and care.
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Understanding Regression Analysis : A Conditional Distribution Approach
Understanding Regression Analysis unifies diverse regression applications including the classical model, ANOVA models, generalized models including Poisson, Negative binomial, logistic, and survival, neural networks, and decision trees under a common umbrella -- namely, the conditional distribution model.It explains why the conditional distribution model is the correct model, and it also explains (proves) why the assumptions of the classical regression model are wrong.Unlike other regression books, this one from the outset takes a realistic approach that all models are just approximations.Hence, the emphasis is to model Nature’s processes realistically, rather than to assume (incorrectly) that Nature works in particular, constrained ways. Key features of the book include: Numerous worked examples using the R software Key points and self-study questions displayed "just-in-time" within chapters Simple mathematical explanations ("baby proofs") of key concepts Clear explanations and applications of statistical significance (p-values), incorporating the American Statistical Association guidelines Use of "data-generating process" terminology rather than "population" Random-X framework is assumed throughout (the fixed-X case is presented as a special case of the random-X case) Clear explanations of probabilistic modelling, including likelihood-based methods Use of simulations throughout to explain concepts and to perform data analysesThis book has a strong orientation towards science in general, as well as chapter-review and self-study questions, so it can be used as a textbook for research-oriented students in the social, biological and medical, and physical and engineering sciences.As well, its mathematical emphasis makes it ideal for a text in mathematics and statistics courses.With its numerous worked examples, it is also ideally suited to be a reference book for all scientists.
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Understanding Regression Analysis : A Conditional Distribution Approach
Understanding Regression Analysis unifies diverse regression applications including the classical model, ANOVA models, generalized models including Poisson, Negative binomial, logistic, and survival, neural networks, and decision trees under a common umbrella -- namely, the conditional distribution model.It explains why the conditional distribution model is the correct model, and it also explains (proves) why the assumptions of the classical regression model are wrong.Unlike other regression books, this one from the outset takes a realistic approach that all models are just approximations.Hence, the emphasis is to model Nature’s processes realistically, rather than to assume (incorrectly) that Nature works in particular, constrained ways. Key features of the book include: Numerous worked examples using the R software Key points and self-study questions displayed "just-in-time" within chapters Simple mathematical explanations ("baby proofs") of key concepts Clear explanations and applications of statistical significance (p-values), incorporating the American Statistical Association guidelines Use of "data-generating process" terminology rather than "population" Random-X framework is assumed throughout (the fixed-X case is presented as a special case of the random-X case) Clear explanations of probabilistic modelling, including likelihood-based methods Use of simulations throughout to explain concepts and to perform data analysesThis book has a strong orientation towards science in general, as well as chapter-review and self-study questions, so it can be used as a textbook for research-oriented students in the social, biological and medical, and physical and engineering sciences.As well, its mathematical emphasis makes it ideal for a text in mathematics and statistics courses.With its numerous worked examples, it is also ideally suited to be a reference book for all scientists.
Price: 120.00 £ | Shipping*: 0.00 £ -
Critical Doubt
They met in a war-torn city on the other side of the world and shared an anonymous night of passion. They didn't intend to meet again. Nor did they think they'd be reunited by sinister secrets... Five years later, FBI Agent Savannah Kane is headed to a small town in Georgia for the funeral of her best friend's husband. Going home is fraught with complications, but Savannah never imagined one of those would be Ryker Stone, the stranger she'd shared an unforgettable night with.Haunted by an ambush that took the lives of two men in his unit, Ryker now copes by living a solitary civilian life. Attending the funeral of yet another soldier, this one lost to a senseless accident, he is shocked to run into the beautiful stranger he has never forgotten.When another man in Ryker's former unit dies under suspicious circumstances, it's clear that someone is targeting his team. He's determined to get the truth; Savannah is just as determined to get answers for her friend. Neither wants to work with the other, and as they struggle with trust and attraction, the truth grows murkier...and more dangerous. Will finding answers reveal secrets neither one of them is ready to know? Don't miss this twisting, suspenseful, romantic page-turner by #1 New York Times Bestselling Author Barbara Freethy!
Price: 15.99 £ | Shipping*: 3.99 £
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What is the question about the normal distribution and the Moivre-Laplace distribution?
The question about the normal distribution and the Moivre-Laplace distribution likely pertains to their differences and similarities. The normal distribution is a continuous probability distribution that is symmetric and bell-shaped, while the Moivre-Laplace distribution is a discrete probability distribution that approximates the normal distribution for large sample sizes. The question may also explore the conditions under which each distribution is applicable and their respective properties, such as mean, variance, and shape.
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Which distribution form is more commonly encountered: normal distribution or skewed distribution?
The normal distribution is more commonly encountered in real-world data compared to skewed distributions. This is because many natural phenomena and human characteristics tend to follow a normal distribution, such as heights, weights, test scores, and IQ scores. Skewed distributions, on the other hand, are less common but still appear in certain types of data, such as income distribution, where a large number of people have lower incomes and a smaller number have very high incomes, resulting in a right-skewed distribution.
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Which distribution box?
The distribution box is typically a metal or plastic enclosure that houses electrical connections and circuit breakers for distributing power to different areas of a building. It is usually located near the main electrical panel and serves as a central point for routing electricity to various circuits throughout the building. The distribution box is essential for ensuring that electricity is safely and efficiently distributed to different areas, helping to prevent overloads and electrical hazards.
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What is a parcel question in the distribution center?
A parcel question in a distribution center refers to a specific inquiry or issue related to a package or shipment. This could include questions about the status of a parcel, its location within the distribution center, or any potential issues with the delivery process. Parcel questions are typically addressed by the distribution center staff to ensure that the package is properly handled and delivered to the intended recipient.
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Critical Doubt
They met in a war-torn city on the other side of the world and shared an anonymous night of passion. They didn't intend to meet again. Nor did they think they'd be reunited by sinister secrets... Five years later, FBI Agent Savannah Kane is headed to a small town in Georgia for the funeral of her best friend's husband. Going home is fraught with complications, but Savannah never imagined one of those would be Ryker Stone, the stranger she'd shared an unforgettable night with.Haunted by an ambush that took the lives of two men in his unit, Ryker now copes by living a solitary civilian life. Attending the funeral of yet another soldier, this one lost to a senseless accident, he is shocked to run into the beautiful stranger he has never forgotten.When another man in Ryker's former unit dies under suspicious circumstances, it's clear that someone is targeting his team. He's determined to get the truth; Savannah is just as determined to get answers for her friend. Neither wants to work with the other, and as they struggle with trust and attraction, the truth grows murkier...and more dangerous. Will finding answers reveal secrets neither one of them is ready to know? Don't miss this twisting, suspenseful, romantic page-turner by #1 New York Times Bestselling Author Barbara Freethy!
Price: 25.99 £ | Shipping*: 3.99 £ -
Design and Analysis of Liquid Hydrogen Technologies : Liquefaction, Storage, and Distribution
Design and Analysis of Liquid Hydrogen Technologies: Liquefaction, Storage and Distribution offers readers a comprehensive guide to the development, analysis, design, and assessment methodologies for liquid hydrogen.From the fundamentals to the latest developments and current applications, the book provides an extensive and systematic discussion of the design, simulation, and techno-economic analysis methodologies that is supported by practical examples, verified codes, and innovative process designs.The book provides a comprehensive overview of the liquid hydrogen economy that is followed by advanced thermoeconomic, exergoeconomic, optimization, and dynamic simulation models that are essential for current and future LH2 technologies. Readers will find this to be a valuable resource for students, researchers, scientists, and engineers working in the hydrogen economy or involved in the processing, design, manufacturing, quality control, reliability, safety, systems, and testing of cryogenic refrigeration and liquid hydrogen production, storage, and transportation.
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Distribution System Modeling and Analysis with MATLAB® and WindMil®
This Fifth Edition includes new sections on electric vehicle loads and the impact they have on voltage drop and transformers in distribution systems.A new and improved tape-shield cable model has been developed to produce more accurate impedance modeling of underground cables.In addition, the book uses state-of-the-art software, including the power distribution simulation software Milsoft WindMil® and programming language Mathworks MATLAB®.MATLAB scripts have been developed for all examples in the text, in addition to new MATLAB-based problems at the end of the chapters. This book illustrates methods that ensure the most accurate results in computational modeling for electric power distribution systems.It clearly explains the principles and mathematics behind system models and discusses the smart grid concept and its special benefits.Including numerous models of components and several practical examples, the chapters demonstrate how engineers can apply and customize computer programs to help them plan and operate systems. The book also covers approximation methods to help users interpret computer program results and includes references and assignments that help users apply MATLAB and WindMil programs to put their new learning into practice.
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POP-1 30a RV Distribution Box American RV Distribution Box Distribution Cabinet Power Socket Box
POP-1 30a RV Distribution Box American RV Distribution Box Distribution Cabinet Power Socket Box
Price: 30.69 € | Shipping*: 24.16 €
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How is the distribution function created in a uniform distribution?
In a uniform distribution, the distribution function is created by assigning equal probability to all possible outcomes within a specified range. This means that each value within the range has an equal likelihood of occurring. The distribution function is a constant value over the range, reflecting the uniformity of probabilities. This type of distribution is often used when all outcomes are equally likely, such as in the rolling of a fair six-sided die.
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What is the difference between frequency distribution and probability distribution?
Frequency distribution is a table or graph that shows the number of times a particular value or range of values occurs in a dataset. It represents the frequency or count of each value. On the other hand, a probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in a sample space. It represents the likelihood of each value occurring. In summary, frequency distribution deals with the count of occurrences, while probability distribution deals with the likelihood of occurrences.
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Is lotto calculated using the binomial distribution or the hypergeometric distribution?
Lotto is typically calculated using the hypergeometric distribution. The hypergeometric distribution is used when the outcome of each trial is dependent on the outcomes of previous trials, which is the case in lotto where the numbers are drawn without replacement. This distribution is used to calculate the probability of getting a certain combination of numbers out of a specific set.
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Why is the binomial distribution used instead of the hypergeometric distribution?
The binomial distribution is used instead of the hypergeometric distribution when the sample size is relatively small compared to the population size, or when the population size is very large. In these cases, the hypergeometric distribution becomes computationally complex and approaches the binomial distribution. Therefore, it is more practical to use the binomial distribution in such scenarios. Additionally, the binomial distribution assumes sampling with replacement, which is often a reasonable approximation in real-world situations.
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