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Good bread begins with just four honest ingredients: flour, water, salt and yeast. Nothing could be simpler and yet nothing is more gratifying. GAIL s Since opening the first GAIL s in 2005, the team behind London s most inviting artisan bakery has been on a mission to bring high-quality, handmade bread and delicious vibrant food to local communities. In this, their first, stunning cookbook, GAIL s take us through the day with inventive, fresh recipes. This abundant recipe book brings the spirit of GAIL s alive. It starts with the essential how-to s of mixing, kneading and shaping loaves before going on to offer over 100 varied savoury and sweet recipes inspired by the simplicity of cooking good bread and all the delicious mealtime possibilities around it. GAIL s will encourage you to try your hand at a basic foolproof bloomer, bake a satisfying sourdough, create morning muffins and pastries, bold salads, flavoursome pies, appetizing tarts and sandwiches, easy afternoon biscuits and cakes, and finally cook delicious savoury meals and desserts for supper. Simply divided into Baker s Essentials, Bread, Breakfast, Lunch, Tea and Supper, the GAIL s Cookbook includes: White poppy seed bloomer French dark sourdough Wholemeal loaf Focaccia Brioche plum and ginger pudding Buckwheat pancakes with caramelised apples and salted butter honey Pizza Bianca with violet artichokes and burrata Truffle, raclette and roast shallot toastie Teatime sandwiches Savoury scones & fruit scones Red quinoa and smokey aubergine yoghurt salad Baked sardines with sourdough crumbs and heritage tomato salad Fregola and chicken salad Baked bread and chicken soup Tuna Nicoise on toast Sourdough lasagna Root vegetable and Fontina bake Leek and goat s cheese picnic loaf Brown sourdough ice cream with raspberry
This book 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. The book covers foundational principles and statistical models as well as pop
This book 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. The book covers foundational principles and statistical models as well as popular psychometric models. Throughout the text, 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.
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