SINGAPORE
Law
Welcome Guest | Login
SEARCH
Advanced
Weird Things Customers Say in Bookshops -- Hardback: Campbell, Jen: BOOKS KINOKUNIYA
Book Details
Weird Things Customers Say in Bookshops -- Hardback
Weird Things Customers Say in Bookshops -- Hardback
Published Date : 2012/03
Binding : Hardcover
ISBN : 9781780334837

BookWeb Price : S$ 19.94
Kinokuniya Privilege Card member price : S$ 17.95

Availability Status : In stock at the Fulfillment Centre.
Usually dispatches within 5 working days.
Stock Information
Store Shelf Location Click here Stock
Singapore Main Store J01-06 Map
Liang Court Store -
Bugis Junction Store -
Important
  • While every attempt has been made to ensure stock availability, occasionally we do run out of stock at our stores.
  • Retail store and online prices may vary.
  • To confirm availability and pricing, please call the store directly.
Retail Store Contact Details and Operating Hours

<Description>

'Can books conduct electricity?'

'My children are just climbing your bookshelves: that's ok... isn't it?'

A John Cleese Twitter question 'What is your pet peeve?', first sparked the 'Weird Things Customers Say in Bookshops' blog, which grew over three years into one bookseller's collection of ridiculous conversations on the shop floor. From 'Did Beatrix Potter ever write a book about dinosaurs?' to the hunt for a paperback which could forecast the next year's weather; and from 'I've forgotten my glasses, please read me the first chapter' to 'Excuse me... is this book edible?'

This full-length collection illustrated by the Brothers McLeod also includes top 'Weird Things' from bookshops around the world.
Book Description

'Can books conduct electricity?' 'My children are just climbing your bookshelves: that's ok...isn't it?' A John Cleese Twitter question ['What is your pet peeve?'], first sparked the "Weird Things Customers Say in Bookshops" blog, which grew over three years into one bookseller's collection of ridiculous conversations on the shop floor. From 'Did Beatrix Potter ever write a book about dinosaurs?' to the hunt for a paperback which could forecast the next year's weather; and from 'I've forgotten my glasses, please read me the first chapter' to 'Excuse me...is this book edible?' This full-length collection illustrated by the Brothers McLeod also includes top 'Weird Things' from bookshops around the world.retaining as much simplicity as possible. By maximizing and deriving other quantities from h-likelihood, they also demonstrate how to use a single algorithm for all members of the class, resulting in a faster algorithm as compared to existing alternatives.Complementing theory with examples, many of which can be run by using the code supplied on the accompanying CD, this book is beneficial to statisticians and researchers involved in the above applications as well as quality-improvement experiments and missing-data analysis.

Contents
LIST OF NOTATIONS PREFACE INTRODUCTION CLASSICAL LIKELIHOOD THEORY Definition Quantities derived from the likelihood Profile likelihood Distribution of the likelihood-ratio statistic Distribution of the MLE and the Wald statistic Model selection Marginal and conditional likelihoods Higher-order approximations Adjusted profile likelihood Bayesian and likelihood methods Jacobian in likelihood methods GENERALIZED LINEAR MODELS Linear models Generalized linear models Model checking Examples QUASI-LIKELIHOOD Examples Iterative weighted least squares Asymptotic inference Dispersion models Extended Quasi-likelihood Joint GLM of mean and dispersion Joint GLMs for quality improvement EXTENDED LIKELIHOOD INFERENCES Two kinds of likelihood Inference about the fixed parameters Inference about the random parameters Optimality in random-parameter estimation Canonical scale, h-likelihood and joint inference Statistical prediction Regression as an extended model Missing or incomplete-data problems Is marginal likelihood enough for inference about fixed parameters? Summary: likelihoods in extended framework NORMAL LINEAR MIXED MODELS Developments of normal mixed linear models Likelihood estimation of fixed parameters Classical estimation of random effects H-likelihood approach Example Invariance and likelihood inference HIERARCHICAL GLMS HGLMs H-likelihood Inferential procedures using h-likelihood Penalized quasi-likelihood Deviances in HGLMs Examples Choice of random-effect scale HGLMS WITH STRUCTURED DISPERSION HGLMs with structured dispersion Quasi-HGLMs Examples CORRELATED RANDOM EFFECTS FOR HGLMS HGLMs with correlated random effects Random effects described by fixed L matrices Random effects described by a covariance matrix Random effects described by a precision matrix Fitting and model-checking Examples Twin and family data Ascertainment problem SMOOTHING Spline models Mixed model framework Automatic smoothing Non-Gaussian smoothing RANDOM-EFFECT MODELS FOR SURVIVAL DATA Proportional-hazard model Frailty models and the associated h-likelihood *Mixed linear models with censoring Extensions Proofs DOUBLE HGLMs DHGLMs Models for finance data H-likelihood procedure for fitting DHGLMs Random effects in the ? component Examples FURTHER TOPICS Model for multivariate responses Joint model for continuous and binary data Joint model for repeated measures and survival time Missing data in longitudinal studies Denoising signals by imputation REFERENCE DATA INDEX AUTHOR INDEX SUBJECT INDEXProjections The MART and EMART Algorithms Extensions of MART and EMART Convergence of the SMART and EMML Regularization Modifying the KL Distance The ABMART Algorithm The ABEMML Algorithm Alternating Minimization Alternating Minimization Exercises The EM Algorithm Overview A Non-Stochastic Formulation of EM The Stochastic EM Algorithm The Discrete Case Missing Data The Continuous Case EM and the KL Distance Finite Mixture Problems Geometric Programming and the MART Overview An Example of a GP Problem The Generalized AGM Inequality Posynomials and the GP Problem The Dual GP Problem Solving the GP Problem Solving the DGP Problem Constrained Geometric Programming Exercises Variational Inequality Problems and Algorithms Monotone Functions The Split-Feasibility Problem The Variational Inequality Problem Korpelevich's Method for the VIP On Some Algorithms of Noor Split Variational Inequality Problems Saddle Points Exercises Set-Valued Functions in Optimization Overview Notation and Definitions Basic Facts Monotone Set-Valued Functions Resolvents Split Monotone Variational Inclusion Solving the SMVIP Special Cases of the SMVIP The Split Common Null-Point Problem Exercises Fenchel Duality The Legendre-Fenchel Transformation Fenchel's Duality Theorem An Application to Game Theory Exercises Compressed Sensing Compressed Sensing Sparse Solutions Minimum One-Norm Solutions Why Sparseness? Compressed Sampling Appendix: Bregman-Legendre Functions Essential Smoothness and Essential Strict Convexity Bregman Projections onto Closed Convex Sets Bregman-Legendre Functions Bibliography IndexHazards Wetting Agents Reduction of Soil Pollution by Reducing Foam Exploitation The Dynamic Extinguishing Strategy Sample Calculation of Foam Compound Requirement for a Depot/Terminal Brief Summary of Fire-Fighting Foam References Fire-Fighting and Fire Protection Facilities Introduction Fire Prevention Practices in Offshore Facilities Fire-Fighting Equipment Water Monitors (Mobile and Fixed Offshore Installations) Water Deluge Pumps and Water Deluge Main Water Deluge Systems Automatic Sprinkler, Fire Detection, and Fire Alarm Systems for Fixed Offshore Installations Pressure Water-Spraying Systems Fire-Extinguishing Systems Storage of Gas Cylinders Fire Protection for Onshore Installations Water Supplies Bases for a Fire-Fighting Water System Water Tanks for Fire Protection Sample Calculation of Fire Water Flow Rate for Storage Tanks Fire Protection System, Inspection, and Testing References Glossary Appendicesof Fire Damaged Structures References Author Index Subject Index