Автор: Scherer Josh Название: The Culinary Bro-Down Cookbook ISBN: 145559542X ISBN-13(EAN): 9781455595426 Издательство: Hachette Book Group Цена: 2926.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: There was never anything wrong with instant ramen. But there was never anything wrong with not being on the moon, either. That didn't stop Neil Armstrong, Buzz Aldrin, and that other guy* from changing the course of human history with a few daring steps and a super dope catchphrase. So too shall journalist and blogger Josh Scherer change the course of late-night, often-insane, sometimes-smart-but-always-monstrous munchie food that puts your MSG packet garbage to shame. You'll find more than seventy creations broken into the ten "brossential" food groups like: Beer, Fried Things, Tacos, and Struggle Snacks (because money is hard). Josh's recipes range from indulgent eats like Beer-Poached Bratwurst Party Subs and Mac 'n' Cheese Nachos to hella-classy dishes like Broccolini with Burnt Lemon Hollandaise and Pork Belly Tacos with Fish Sauce Caramel. Sprinkled in are the unholy commandments for bro cooking, such as "bagged wine is the only wine you need," and Josh's expert advice on how to beat a hangover (it's mostly just pastrami and emotionally purging movies). The Culinary Bro-Down Cookbook is full of irreverent essays and anecdotes, but running throughout is a deep sense of soul and self that strives to answer the question: Why can't the deep-fried nonsense you eat with your bros at 2 a.m. have the same emotional gravitas as an intimate family dinner? Oh and there's bacon, too. Like, a lot of it.
Описание: 'The book remains a valuable tool both for statisticians who are already familiar with the theory of copulas and just need to develop sampling algorithms, and for practitioners who want to learn copulas and implement the simulation techniques needed to exploit the potential of copulas in applications.'Mathematical ReviewsThe book provides the background on simulating copulas and multivariate distributions in general. It unifies the scattered literature on the simulation of various families of copulas (elliptical, Archimedean, Marshall-Olkin type, etc.) as well as on different construction principles (factor models, pair-copula construction, etc.). The book is self-contained and unified in presentation and can be used as a textbook for graduate and advanced undergraduate students with a firm background in stochastics. Besides the theoretical foundation, ready-to-implement algorithms and many examples make the book a valuable tool for anyone who is applying the methodology.
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