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  • High-Dimensional Statistics : A Non-Asymptotic Viewpoint
    High-Dimensional Statistics : A Non-Asymptotic Viewpoint

    Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings.Such massive data sets present a number of challenges to researchers in statistics and machine learning.This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level.It includes chapters that are focused on core methodology and theory - including tail bounds, concentration inequalities, uniform laws and empirical process, and random matrices - as well as chapters devoted to in-depth exploration of particular model classes - including sparse linear models, matrix models with rank constraints, graphical models, and various types of non-parametric models.With hundreds of worked examples and exercises, this text is intended both for courses and for self-study by graduate students and researchers in statistics, machine learning, and related fields who must understand, apply, and adapt modern statistical methods suited to large-scale data.

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  • Asymptotic Efficiency of Nonparametric Tests
    Asymptotic Efficiency of Nonparametric Tests

    Making a substantiated choice of the most efficient statistical test is one of the basic problems of statistics.Asymptotic efficiency is an indispensable technique for comparing and ordering statistical tests in large samples.It is especially useful in nonparametric statistics where it is usually necessary to rely on heuristic tests.This monograph presents a unified treatment of the analysis and calculation of the asymptotic efficiencies of nonparametric tests.Powerful new methods are developed to evaluate explicitly different kinds of efficiencies.Of particular interest is the description of domains of the Bahadur local optimality and related characterisation problems based on recent research by the author.Other Russian results are also published here for the first time in English.Researchers, professionals and students in statistics will find this book invaluable.

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  • Commercial Timing Rice Steaming Cabinet For Steamed Buns Dumplings Seafood Steamers
    Commercial Timing Rice Steaming Cabinet For Steamed Buns Dumplings Seafood Steamers

    Commercial Timing Rice Steaming Cabinet For Steamed Buns Dumplings Seafood Steamers

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  • Asymptotic Perturbation Methods : For Nonlinear Differential Equations in Physics
    Asymptotic Perturbation Methods : For Nonlinear Differential Equations in Physics

    Asymptotic Perturbation Methods Cohesive overview of powerful mathematical methods to solve differential equations in physics Asymptotic Perturbation Methods for Nonlinear Differential Equations in Physics addresses nonlinearity in various fields of physics from the vantage point of its mathematical description in the form of nonlinear partial differential equations and presents a unified view on nonlinear systems in physics by providing a common framework to obtain approximate solutions to the respective nonlinear partial differential equations based on the asymptotic perturbation method.Aside from its complete coverage of a complicated topic, a noteworthy feature of the book is the emphasis on applications.There are several examples included throughout the text, and, crucially, the scientific background is explained at an elementary level and closely integrated with the mathematical theory to enable seamless reader comprehension.To fully understand the concepts within this book, the prerequisites are multivariable calculus and introductory physics.Written by a highly qualified author with significant accomplishments in the field, Asymptotic Perturbation Methods for Nonlinear Differential Equations in Physics covers sample topics such as: Application of the various flavors of the asymptotic perturbation method, such as the Maccari method to the governing equations of nonlinear system Nonlinear oscillators, limit cycles, and their bifurcations, iterated nonlinear maps, continuous systems, and nonlinear partial differential equations (NPDEs) Nonlinear systems, such as the van der Pol oscillator, with advanced coverage of plasma physics, quantum mechanics, elementary particle physics, cosmology, and chaotic systems Infinite-period bifurcation in the nonlinear Schrodinger equation and fractal and chaotic solutions in NPDEs Asymptotic Perturbation Methods for Nonlinear Differential Equations in Physics is ideal for an introductory course at the senior or first year graduate level.It is also a highly valuable reference for any professional scientist who does not possess deep knowledge about nonlinear physics.

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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.

  • What is the asymptotic terminal velocity?

    The asymptotic terminal velocity is the maximum constant velocity that an object can reach when falling through a fluid, such as air or water, due to the balance between the gravitational force pulling the object downward and the drag force pushing against it. As the object falls, the drag force increases until it equals the gravitational force, at which point the object stops accelerating and reaches its terminal velocity. This velocity is asymptotic because the object will never actually reach it due to factors like air resistance and other external forces.

  • Why do we have an asymptotic equality here?

    We have an asymptotic equality here because as the input size grows larger, the difference between the two functions becomes negligible. In other words, the growth rate of the two functions becomes very similar as the input size approaches infinity. This allows us to simplify the comparison of the two functions and focus on their overall growth behavior rather than their specific values. As a result, we can use asymptotic analysis to make general statements about the performance of algorithms or the behavior of mathematical functions without getting bogged down in the details of specific input sizes.

  • What exactly is required in this task regarding asymptotic growth?

    In this task, you are required to analyze the asymptotic growth of the given functions. This involves determining the rate at which the functions grow as their input values become very large. You need to compare the growth rates of the functions using big-O notation to understand their relative efficiencies. By identifying the dominant terms in the functions and simplifying them to their most significant parts, you can determine which function grows faster or slower in the long run.

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    Simulation Food Keychain Dumplings Baozi Noodles PVC Mini Boiled Key Chain Jiaozi Toys Bag Backpack

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  • Asymptotic Expansion of Multiple Integrals and the Method of Stationary Phase
    Asymptotic Expansion of Multiple Integrals and the Method of Stationary Phase

    This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

    Price: 23.95 £ | Shipping*: 3.99 £
  • 20Pcs Mini 1/6/12 Miniature Dollhouse Cartoon Steamed Buns Dumplings Doll House Kids Play Kitchen
    20Pcs Mini 1/6/12 Miniature Dollhouse Cartoon Steamed Buns Dumplings Doll House Kids Play Kitchen

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  • Why do my steamed dumplings collapse?

    Steamed dumplings may collapse due to a few reasons. One common reason is that the dough may be too thin or not properly sealed, causing the dumplings to lose their shape during the steaming process. Another reason could be that the filling is too moist, causing the dumplings to become too heavy and collapse. Additionally, overcooking the dumplings can also cause them to collapse, as the dough becomes too soft and loses its structure. It's important to ensure that the dough is properly sealed and the filling is not too moist, and to avoid overcooking the dumplings to prevent them from collapsing.

  • From when do steamed dumplings need to go into the refrigerator?

    Steamed dumplings should be placed in the refrigerator within 2 hours of being cooked. This is to prevent the growth of bacteria and to ensure food safety. Allowing food to sit out at room temperature for too long can increase the risk of foodborne illness. Therefore, it is important to promptly refrigerate any leftover steamed dumplings to keep them safe for consumption.

  • How long are steamed dumplings still edible after the expiration date?

    Steamed dumplings are still edible for 1-2 days after the expiration date if they have been properly stored in the refrigerator. However, it is important to carefully inspect the dumplings for any signs of spoilage such as a sour smell, mold, or unusual texture before consuming them. It is always best to use your judgment and err on the side of caution when consuming food past its expiration date.

  • Are the steamed dumplings burnt at the bottom of the pan?

    No, the steamed dumplings are not burnt at the bottom of the pan. Steamed dumplings are cooked by the steam generated from boiling water, so they should not come into direct contact with the hot surface of the pan. If the dumplings are burnt at the bottom, it may be due to insufficient water in the pan or cooking them for too long.

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