The team behind London's most inviting artisan bakery shares their secrets for high-quality handmade bread and delicious vibrant food—from French Dark Sourdough to Ricotta, Lemon, and Sage Bread Pie The first stunning cookbook from Gail's takes us through the day with inventive, fresh recipes. It starts with the essential how-to’s of mixing, kneading, and shaping loaves before going on to offer more than 100 varied savory and sweet recipes inspired by the simplicity of cooking good bread and all its delicious mealtime possibilities. This book will encourage you to try your hand at a basic foolproof bloomer, bake a satisfying sourdough, create morning muffins and pastries, bold salads, flavorsome pies, appetizing tarts and sandwiches, easy afternoon biscuits and cakes, and finally cook delicious savory meals and desserts. Simply divided into Baker’s Essentials, Bread, Breakfast, Lunch, Tea, and Supper, the book's recipes include White Poppy Seed Bloomer, Brioche Plum and Ginger Pudding, Buckwheat Pancakes with Caramelised Apples and Salted Butter Honey, Pizza Bianca with Violet Artichokes and Burrata, Baked Sardines with Sourdough Crumbs and Heritage Tomato Salad, Sourdough Lasagna, Leek and Goat's Cheese Picnic Loaf, and Brown Sourdough Ice Cream with Raspberry Ripple. Recipes include dual measurements.

Gail's Artisan Bakery Cookbook

Cookbooks, Food & Wine

Levy, Roy

Mejia, Gail

Baking

Ebury Press

Bayesian Psychometric Modeling (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment\nBayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics.\nAdopting a Bayesian approach can aid in unifying seemingly disparate―and sometimes conflicting―ideas and activities in psychometrics. This book explains both how to perform psychometrics using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking.\nThe first part of the book introduces foundational principles and statistical models, including conceptual issues, normal distribution models, Markov chain Monte Carlo estimation, and regression. Focusing more directly on psychometrics, the second part covers popular psychometric models, including classical test theory, factor analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples primarily from educational assessments. A supplementary website provides the datasets, WinBUGS code, R code, and Netica files used in the examples.

Science & Math

Mislevy, Robert J.

Mathematics

Routledge

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics. Adopting a Bayesian approach can aid in unifying seemingly disparate―and sometimes conflicting―ideas and activities in psychometrics. This book explains both how to perform psychometrics using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking. The first part of the book introduces foundational principles and statistical models, including conceptual issues, normal distribution models, Markov chain Monte Carlo estimation, and regression. Focusing more directly on psychometrics, the second part covers popular psychometric models, including classical test theory, factor analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples primarily from educational assessments. A supplementary website provides the datasets, WinBUGS code, R code, and Netica files used in the examples.

Health, Fitness & Dieting

Psychology & Counseling

Chapman and Hall/CRC

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