A RECOMMENDED BOOK FROM: Bon Appetit * The New York Times Book Review * Epicurious * Plate * Saveur * Grub Street * Wired * The Spruce Eats * Conde Nast Traveler * Food & Wine * Heated For the last 100 years, Nom Wah Tea Parlor has been slinging some of the world's greatest dim sum from New York's Chinatown. Now owner Wilson Tang tells the story of how the restaurant came to be--and how to prepare their legendary dishes in your own home. Nom Wah Tea Parlor isn't simply the story of dumplings, though there are many folds to it. It isn't the story of bao, though there is much filling. It's not just the story of dim sum, although there are scores and scores of recipes. It's the story of a community of Chinese immigrants who struggled, flourished, cooked, and ate with abandon in New York City.&nbsp; (Who now struggle, flourish, cook, and eat with abandon in New York City.) It's a journey that begins in Toishan, runs through Hong Kong, and ends up tucked into the corner of a street once called The Bloody Angle.&nbsp; In this book, Nom Wah's owner, Wilson Tang, takes us into the hardworking kitchen of Nom Wah and emerges with 75 easy-to-make recipes: from bao to vegetables, noodles to desserts, cakes, rice rolls, chef's specials, dumplings, and more. We're also introduced to characters like Mei Lum, the fifth-generation owner of porcelain shop Wing on Wo, and Joanne Kwong, the lawyer-turned-owner of Pearl River Mart. He paints a portrait of what Chinatown in New York City is in 2020. As Wilson, who quit a job in finance to take over the once-ailing family business, struggles with the dilemma of immigrant children--to jettison tradition or to cling to it--he also points to a new way: to savor tradition while moving forward. A book for har gow lovers and rice roll junkies, The Nom Wah Cookbook&nbsp;portrays a culture at a crossroads.

The Nom Wah Cookbook: Recipes and Stories from 100 Years at New York City's Iconic Dim Sum Restaurant

Stein, Joshua David

Tang, Wilson

Reference

Ecco

Apply the principles of probability and statistics to realistic engineering problemsThe easiest and most effective way to learn the principles of probabilistic modeling and statistical inference is to apply those principles to a variety of applications. That's why Ang and Tang's Second Edition of Probability Concepts in Engineering (previously titled Probability Concepts in Engineering Planning and Design) explains concepts and methods using a wide range of problems related to engineering and the physical sciences, particularly civil and environmental engineering.Now extensively revised with new illustrative problems and new and expanded topics, this Second Edition will help you develop a thorough understanding of probability and statistics and the ability to formulate and solve real-world problems in engineering. The authors present each basic principle using different examples, and give you the opportunity to enhance your understanding with practice problems. The text is ideally suited for students, as well as those wishing to learn and apply the principles and tools of statistics and probability through self-study.Key Features in this 2nd Edition:* A new chapter (Chapter 5) covers Computer-Based Numerical and Simulation Methods in Probability, to extend and expand the analytical methods to more complex engineering problems.* New and expanded coverage includes distribution of extreme values (Chapter 3), the Anderson-Darling method for goodness-of-fit test (Chapter 6), hypothesis testing (Chapter 6), the determination of confidence intervals in linear regression (Chapter 8), and Bayesian regression and correlation analyses (Chapter 9).* Many new exercise problems in each chapter help you develop a working knowledge of concepts and methods.* Provides a wide variety of examples, including many new to this edition, to help you learn and understand specific concepts.* Illustrates the formulation and solution of engineering-type probabilistic problems through computer-based methods, including developing computer codes using commercial software such as MATLAB and MATHCAD.* Introduces and develops analytical probabilistic models and shows how to formulate engineering problems under uncertainty, and provides the fundamentals for quantitative risk assessment.

Probability Concepts in Engineering Planning and Design

Ang, Alfred H.S.

John Wiley and Sons Ltd.

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