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The Component A Personal Odyssey towards Another Normal

The Component A Personal Odyssey towards Another Normal

The Component: A Personal Odyssey towards Another Normal is the Oosterhuis' personal account of four decades of architectural and societal thinking designing building and theorizing. It is an orchestrated yet non-linear series of subjects all leading toward the creation of a parallel world called Another Normal. Another Normal is as of now a hypothetical parallel world. Nomadic international citizens are the inhabitants of Another Normal. Urged by the climate crisis the food energy and water nexus and the COVID-19 pandemic Another Normal demonstrates the inevitable data-driven techno-social architecture of the physically built environment and the metaverse. Besides robotic production on demand of almost anything – when where and as needed – Oosterhuis' proposes a dozen strategies that run in parallel to establish Another Normal among others: ubiquitous basic income global birthright to own a generous piece of land distributed production of healthy food clean energy and drinking water ownership of private data and personal avatars in the Web 3. 0 autonomous electronic transportation ubiquitous shared responsibility for clean production and waste treatment techniques ubiquitous home delivery working from anywhere for any period of time and decentralized real-time peer to peer banking. The organic real and the synthetic hyper-real co-evolve naturally in Another Normal where a mix of strong and simple legislative planning and design rules create complexity diversity fairness and equality. | The Component A Personal Odyssey towards Another Normal

GBP 48.99
1

Management of Normal and High-Risk Labour during Childbirth

Introduction to Probability with Mathematica

Introduction to Probability with Mathematica

Updated to conform to Mathematica® 7. 0 Introduction to Probability with Mathematica® Second Edition continues to show students how to easily create simulations from templates and solve problems using Mathematica. It provides a real understanding of probabilistic modeling and the analysis of data and encourages the application of these ideas to practical problems. The accompanyingdownloadable resources offer instructors the option of creating class notes demonstrations and projects. New to the Second EditionExpanded section on Markov chains that includes a study of absorbing chainsNew sections on order statistics transformations of multivariate normal random variables and Brownian motionMore example data of the normal distribution More attention on conditional expectation which has become significant in financial mathematicsAdditional problems from Actuarial Exam PNew appendix that gives a basic introduction to MathematicaNew examples exercises and data sets particularly on the bivariate normal distributionNew visualization and animation features from Mathematica 7. 0Updated Mathematica notebooks on the downloadable resources. After covering topics in discrete probability the text presents a fairly standard treatment of common discrete distributions. It then transitions to continuous probability and continuous distributions including normal bivariate normal gamma and chi-square distributions. The author goes on to examine the history of probability the laws of large numbers and the central limit theorem. The final chapter explores stochastic processes and applications ideal for students in operations research and finance.

GBP 59.99
1

Essential Paediatric Haematology

Aughey and Frye’s Comparative Veterinary Histology with Clinical Correlates

Neuroanatomy of Social Behaviour An Evolutionary and Psychoanalytic Perspective

Psychology of Eating From Biology to Culture to Policy

Endocrine Diseases in Pregnancy and the Postpartum Period

Revival: Microspheres: Medical and Biological Applications (1988)

In Fairness to Children Working for Social Justice in the Primary School

Physiology of Soybean Plant

Reliability Assessments Concepts Models and Case Studies

Reliability Assessments Concepts Models and Case Studies

This book provides engineers and scientists with a single source introduction to the concepts models and case studies for making credible reliability assessments. It satisfies the need for thorough discussions of several fundamental subjects. Section I contains a comprehensive overview of assessing and assuring reliability that is followed by discussions of:• Concept of randomness and its relationship to chaos• Uses and limitations of the binomial and Poisson distributions• Relationship of the chi-square method and Poisson curves• Derivations and applications of the exponential Weibull and lognormal models• Examination of the human mortality bathtub curve as a template for componentsSection II introduces the case study modeling of failure data and is followed by analyses of:• 5 sets of ideal Weibull lognormal and normal failure data• 83 sets of actual (real) failure data The intent of the modeling was to find the best descriptions of the failures using statistical life models principally the Weibull lognormal and normal models for characterizing the failure probability distributions of the times- cycles- and miles-to-failure during laboratory or field testing. The statistical model providing the preferred characterization was determined empirically by choosing the two-parameter model that gave the best straight-line fit in the failure probability plots using a combination of visual inspection and three statistical goodness-of-fit (GoF) tests. This book offers practical insight in dealing with single item reliability and illustrates the use of reliability methods to solve industry problems. | Reliability Assessments Concepts Models and Case Studies

GBP 48.99
1

Statistical Simulation Power Method Polynomials and Other Transformations

Statistical Simulation Power Method Polynomials and Other Transformations

Although power method polynomials based on the standard normal distributions have been used in many different contexts for the past 30 years it was not until recently that the probability density function (pdf) and cumulative distribution function (cdf) were derived and made available. Focusing on both univariate and multivariate nonnormal data generation Statistical Simulation: Power Method Polynomials and Other Transformations presents techniques for conducting a Monte Carlo simulation study. It shows how to use power method polynomials for simulating univariate and multivariate nonnormal distributions with specified cumulants and correlation matrices. The book first explores the methodology underlying the power method before demonstrating this method through examples of standard normal logistic and uniform power method pdfs. It also discusses methods for improving the performance of a simulation based on power method polynomials. The book then develops simulation procedures for systems of linear statistical models intraclass correlation coefficients and correlated continuous variates and ranks. Numerical examples and results from Monte Carlo simulations illustrate these procedures. The final chapter describes how the g-and-h and generalized lambda distribution (GLD) transformations are special applications of the more general multivariate nonnormal data generation approach. Throughout the text the author employs Mathematica® in a range of procedures and offers the source code for download online. Written by a longtime researcher of the power method this book explains how to simulate nonnormal distributions via easy-to-use power method polynomials. By using the methodology and techniques developed in the text readers can evaluate different transformations in terms of comparing percentiles measures of central tendency goodness-of-fit tests and more. | Statistical Simulation Power Method Polynomials and Other Transformations

GBP 64.99
1

Algebra Groups Rings and Fields

Handbook of Statistical Distributions with Applications

An Introduction to Compressible Flow

A Research on Functional Grammar of Chinese

Vitamin C New Biochemical and Functional Insights

Ecological Risks and Disasters - New Experiences in China and Europe

Concise Textbook of Equine Clinical Practice Book 2 Reproduction and the Foal

Concise Textbook of Equine Clinical Practice Book 1 Lameness

Anomia Theoretical and Clinical Aspects

Fundamentals of Mathematical Statistics

Echocardiography A Practical Guide for Reporting and Interpretation