Products related to Variance:
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Shine/Variance
"Great, beautiful little studies of unspoken fear and longing and love, told with a sure-footed delicacy rare in a debut" Sarah Moss, Irish Times"An exciting, original, and very welcome new voice" Donal Ryan"These are startling, adventurous and often wonderful stories.I loved this collection" Roddy DoyleA sharp and insightful debut short story collection about the pitfalls of ordinary life A wife yearns to escape the tight-fisted confines of a package holiday.A boy dreams of footballing greatness as his mother mourns a loss.A man tries to assemble an absent child's playhouse, with impossible instructions and too much beer.A woman seeks clarity from automated voices. A father is distracted from Christmas tree shopping with his son by the looming pressure of quarterly sales targets. Shine/Variance captures the tiny crises and wonders of daily life with warmth, wit and decisive clarity. Ordinary people - commuters, call centre workers, children and parents - struggle for stability while craving more, and the schism between expectation and reality is only rarely bridged.Yet, amidst the faltering, recognition and bright moments of hope still illuminate their days. Fresh, tender and darkly funny, these stories are a window into the longings, frustrations and painfully human connections of ordinary life from a remarkable new voice in fiction. "The most powerful new collection I've read in some years" John Boyne"Brilliantly bats, staggeringly compelling, and ferociously funny.Stephen Walsh rips the concreteness of reality straight from us and reflects back a more wobbly version of our turbulent lives...Completely unique" June Caldwell"Full of assured originality and freshness - a new writer much to be welcomed" Bernard MacLaverty
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Variance III: The 'Torsten in Queereteria' Remixes
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Constructive Theology and Gender Variance : Transformative Creatures
Some Christians are anxious and uncomfortable about gender diversity and transition.Sometimes, they understand these issues as a rejection of God's intention for creation.Gender diversity has also been assumed to entail self-deception, mental ill-health, and dysphoria.Yet, humans are inherently transformative creatures with a vocation to shape their own worlds and traditions.Transformative creaturely theology recognizes the capacity of gender to shape humans even as we also question it.In this book, Susannah Cornwall reframes the issues of gender diversity and transition in constructive Christian theological terms.Resisting deficit-based discourses, she presents gender diversity in a way that is positive and non-oppositional.Her volume explores questions of the licit limits of technological interventions for human bodies, how gender diversity maps onto understandings of health, and the ethics of disclosure of gender diversity.It also brings these topics into critical conversation with constructive Christian theologies of creation, theological anthropology, Christology, and eschatology.
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Variance II: The 'Torsten the Beautiful Libertine' Remixes
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What is the derivation of the variance decomposition of the variance?
The variance decomposition of the variance is derived from the decomposition of the total variance into its components. This decomposition helps to understand the relative contributions of different sources of variation to the total variance. By partitioning the variance into its constituent parts, such as the variance due to different factors or sources, we can quantify the amount of variability explained by each component. This decomposition is commonly used in statistical analysis to assess the importance of various factors in explaining the overall variability in a dataset.
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What is variance in mathematics?
In mathematics, variance is a measure of how much a set of numbers varies or spreads out. It is a statistical measure that indicates the extent to which data points differ from the mean (average) of the set. A high variance means that the numbers in the set are spread out over a wider range, while a low variance means that the numbers are closer to the mean. Variance is calculated by taking the average of the squared differences between each data point and the mean.
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What is the asymptotic variance?
The asymptotic variance is a measure of the variability of an estimator as the sample size approaches infinity. It represents the limit of the variance of the estimator as the sample size becomes very large. In statistical theory, it is used to assess the precision and reliability of an estimator in the long run. A smaller asymptotic variance indicates that the estimator is more efficient and provides more precise estimates as the sample size increases.
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What is the difference between variance and standard deviation, and why is variance needed?
Variance and standard deviation are both measures of the spread or dispersion of a set of data. The main difference between the two is that variance is the average of the squared differences from the mean, while standard deviation is the square root of the variance. Standard deviation is often preferred over variance because it is in the same units as the original data, making it easier to interpret. However, variance is still needed in statistical calculations, such as in the calculation of the standard deviation, and it provides valuable information about the variability of the data.
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Pricing Models of Volatility Products and Exotic Variance Derivatives
Pricing Models of Volatility Products and Exotic Variance Derivatives summarizes most of the recent research results in pricing models of derivatives on discrete realized variance and VIX.The book begins with the presentation of volatility trading and uses of variance derivatives.It then moves on to discuss the robust replication strategy of variance swaps using portfolio of options, which is one of the major milestones in pricing theory of variance derivatives.The replication procedure provides the theoretical foundation of the construction of VIX.This book provides sound arguments for formulating the pricing models of variance derivatives and establishes formal proofs of various technical results.Illustrative numerical examples are included to show accuracy and effectiveness of analytic and approximation methods.Features Useful for practitioners and quants in the financial industry who need to make choices between various pricing models of variance derivatives Fabulous resource for researchers interested in pricing and hedging issues of variance derivatives and VIX products Can be used as a university textbook in a topic course on pricing variance derivatives
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Pricing Models of Volatility Products and Exotic Variance Derivatives
Pricing Models of Volatility Products and Exotic Variance Derivatives summarizes most of the recent research results in pricing models of derivatives on discrete realized variance and VIX.The book begins with the presentation of volatility trading and uses of variance derivatives.It then moves on to discuss the robust replication strategy of variance swaps using portfolio of options, which is one of the major milestones in pricing theory of variance derivatives.The replication procedure provides the theoretical foundation of the construction of VIX.This book provides sound arguments for formulating the pricing models of variance derivatives and establishes formal proofs of various technical results.Illustrative numerical examples are included to show accuracy and effectiveness of analytic and approximation methods.Features Useful for practitioners and quants in the financial industry who need to make choices between various pricing models of variance derivatives Fabulous resource for researchers interested in pricing and hedging issues of variance derivatives and VIX products Can be used as a university textbook in a topic course on pricing variance derivatives
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Experiments in Ecology : Their Logical Design and Interpretation Using Analysis of Variance
Ecological theories and hypotheses are usually complex because of natural variability in space and time, which often makes the design of experiments difficult.The statistical tests we use require data to be collected carefully and with proper regard to the needs of these tests.This book, first published in 1996, describes how to design ecological experiments from a statistical basis using analysis of variance, so that we can draw reliable conclusions.The logical procedures that lead to a need for experiments are described, followed by an introduction to simple statistical tests.This leads to a detailed account of analysis of variance, looking at procedures, assumptions and problems.One-factor analysis is extended to nested (hierarchical) designs and factorial analysis.Finally, some regression methods for examining relationships between variables are covered.Examples of ecological experiments are used throughout to illustrate the procedures and examine problems.This book will be invaluable to practising ecologists as well as advanced students involved in experimental design.
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Analysis of Variance for High-Dimensional Data : Applications in Life, Food and Chemical Sciences
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How do you calculate variance correctly?
Variance is calculated by finding the average of the squared differences between each data point and the mean of the data set. First, calculate the mean of the data set. Then, subtract the mean from each data point, square the result, and find the average of these squared differences. This average is the variance. The formula for variance is: variance = Σ (x - μ)² / n, where Σ represents the sum of the squared differences, x is each data point, μ is the mean, and n is the number of data points.
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What is variance explanation in psychology?
Variance explanation in psychology refers to the extent to which a particular variable or set of variables can account for the variability in a certain psychological phenomenon or behavior. It is a measure of how much of the variability in a particular outcome can be attributed to the variables being studied. For example, in a study on the factors influencing depression, variance explanation would indicate how much of the variability in depression scores can be explained by factors such as genetics, environment, or personality traits. Understanding the variance explanation in psychology is important for identifying the key factors that contribute to a particular psychological outcome.
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How can the variance be transformed?
The variance can be transformed by applying a linear transformation to the data. This can involve multiplying each data point by a constant, adding a constant to each data point, or a combination of both. Another way to transform the variance is by applying a non-linear transformation to the data, such as taking the square root or the logarithm of the data. These transformations can help to stabilize the variance, make the data more normally distributed, or make the variance more homogeneous across different groups or levels of a factor.
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How do I calculate variance in statistics?
To calculate variance in statistics, you first need to find the mean of the data set. Then, subtract the mean from each data point and square the result. Next, find the average of these squared differences. This average is the variance of the data set. The formula for variance is: variance = Σ(x - μ)² / n, where x is each data point, μ is the mean, and n is the total number of data points.
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