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Gluten-free Bread Technology - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Modernist Bread at Home - Nathan Myhrvold - Bog - The Cooking Lab - Plusbog.dk

Modernist Bread at Home - Nathan Myhrvold - Bog - The Cooking Lab - Plusbog.dk

Modernist Bread at Home is an indispensable cookbook for anyone who is passionate about making homemade bread. Created by the same team behind the award-winning Modernist Bread, this new cookbook is thoughtfully tailored to the specific needs of home bakers so that you can get great results in your kitchen, regardless of how much time or experience you have.After years of rigorous independent research and hundreds of experiments, the Modernist Cuisine team has now distilled all that wisdom down into a comprehensive, 420-page single volume that proves bread-making can be attainable and convenient, even during the workweek. You’ll discover innovative yet practical techniques, time-saving tips, helpful scientific insights, and adaptable recipes that make delicious homemade bread possible.Modernist Bread at Home features over 160 easy-to-follow recipes that span the world of bread: rustic sourdoughs, traditional French lean breads, lighter-than-air sandwich breads, decadent brioches, beautifully textured ryes, challah, focaccia, bagels, bao, and more, with gluten-free recipes that stand up to their counterparts. Plus, a 172-page wire-bound manual is included so that you can easily bring all the recipes into the kitchen.Whether it’s a new way of mixing, a method for saving overproofed dough, innovative ways to use leftover levain, or how to improvise a proofer, you will become a better, more confident baker. Useful step-by-step tutorials and visual guides are found throughout the book, carefully designed to help you master key techniques, better navigate the bread-making process, troubleshoot potential challenges, and bring a new level of confidence to your baking. Ultimately, Modernist Bread at Home will help you make beautiful loaves of bread with a depth of flavor beyond that which you’ll find in the store. And you can proudly say that you’ve made it at home.

DKK 965.00
1

Linear Least Squares Computations - Farebrother - Bog - Taylor & Francis Inc - Plusbog.dk

The Moral and Market Economies of Bread - Jonas Albrecht - Bog - Bloomsbury Publishing PLC - Plusbog.dk

Understanding Least Squares Estimation and Geomatics Data Analysis - John Olusegun Ogundare - Bog - John Wiley & Sons Inc - Plusbog.dk

Understanding Least Squares Estimation and Geomatics Data Analysis - John Olusegun Ogundare - Bog - John Wiley & Sons Inc - Plusbog.dk

Provides a modern approach to least squares estimation and data analysis for undergraduate land surveying and geomatics programs Rich in theory and concepts, this comprehensive book on least square estimation and data analysis provides examples that are designed to help students extend their knowledge to solving more practical problems. The sample problems are accompanied by suggested solutions, and are challenging, yet easy enough to manually work through using simple computing devices, and chapter objectives provide an overview of the material contained in each section. Understanding Least Squares Estimation and Geomatics Data Analysis begins with an explanation of survey observables, observations, and their stochastic properties. It reviews matrix structure and construction and explains the needs for adjustment. Next, it discusses analysis and error propagation of survey observations, including the application of heuristic rule for covariance propagation. Then, the important elements of statistical distributions commonly used in geomatics are discussed. Main topics of the book include: concepts of datum definitions; the formulation and linearization of parametric, conditional and general model equations involving typical geomatics observables; geomatics problems; least squares adjustments of parametric, conditional and general models; confidence region estimation; problems of network design and pre-analysis; three-dimensional geodetic network adjustment; nuisance parameter elimination and the sequential least squares adjustment; post-adjustment data analysis and reliability; the problems of datum; mathematical filtering and prediction; an introduction to least squares collocation and the kriging methods; and more. Contains ample concepts/theory and content, as well as practical and workable examplesBased on the author's manual, which he developed as a complete and comprehensive book for his Adjustment of Surveying Measurements and Special Topics in Adjustments coursesProvides geomatics undergraduates and geomatics professionals with required foundational knowledgeAn excellent companion to Precision Surveying: The Principles and Geomatics Practice Understanding Least Squares Estimation and Geomatics Data Analysis is recommended for undergraduates studying geomatics, and will benefit many readers from a variety of geomatics backgrounds, including practicing surveyors/engineers who are interested in least squares estimation and data analysis, geomatics researchers, and software developers for geomatics.

DKK 914.00
1

Bread, Knowledge and Freedom - David Vincent - Bog - Taylor & Francis Ltd - Plusbog.dk

Wine Is Our Bread - Daniela Ana - Bog - Berghahn Books - Plusbog.dk

Staple Security - Jessica Barnes - Bog - Duke University Press - Plusbog.dk

Bread and Freedom - Mona El Ghobashy - Bog - Stanford University Press - Plusbog.dk

Bread, Justice, and Liberty - Alison Bruey - Bog - University of Wisconsin Press - Plusbog.dk

Partial Least Squares Regression - Liliana Forzani - Bog - Taylor & Francis Ltd - Plusbog.dk

John Derricke's the Image of Irelande: with a Discoverie of Woodkarne - - Bog - Manchester University Press - Plusbog.dk

How To Do Things With words - J.l. Austin - Bog - Oxford University Press - Plusbog.dk

Liturgy, Ritual, and Secularization in Nineteenth-Century British Literature - Joseph Mcqueen - Bog - Cambridge University Press - Plusbog.dk

Steamed Breads - Sidi Huang - Bog - Elsevier Science & Technology - Plusbog.dk

Thinking with Classical Matter - - Bog - Oxford University Press - Plusbog.dk

Nonparametric Statistics with Applications to Science and Engineering with R - Seong Joon Kim - Bog - John Wiley & Sons Inc - Plusbog.dk

Nonparametric Statistics with Applications to Science and Engineering with R - Seong Joon Kim - Bog - John Wiley & Sons Inc - Plusbog.dk

NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING WITH R Introduction to the methods and techniques of traditional and modern nonparametric statistics, incorporating R code Nonparametric Statistics with Applications to Science and Engineering with R presents modern nonparametric statistics from a practical point of view, with the newly revised edition including custom R functions implementing nonparametric methods to explain how to compute them and make them more comprehensible. Relevant built-in functions and packages on CRAN are also provided with a sample code. R codes in the new edition not only enable readers to perform nonparametric analysis easily, but also to visualize and explore data using R’s powerful graphic systems, such as ggplot2 package and R base graphic system. The new edition includes useful tables at the end of each chapter that help the reader find data sets, files, functions, and packages that are used and relevant to the respective chapter. New examples and exercises that enable readers to gain a deeper insight into nonparametric statistics and increase their comprehension are also included. Some of the sample topics discussed in Nonparametric Statistics with Applications to Science and Engineering with R include: Basics of probability, statistics, Bayesian statistics, order statistics, Kolmogorov–Smirnov test statistics, rank tests, and designed experiments Categorical data, estimating distribution functions, density estimation, least squares regression, curve fitting techniques, wavelets, and bootstrap sampling EM algorithms, statistical learning, nonparametric Bayes, WinBUGS, properties of ranks, and Spearman coefficient of rank correlation Chi-square and goodness-of-fit, contingency tables, Fisher exact test, MC Nemar test, Cochran’s test, Mantel–Haenszel test, and Empirical Likelihood Nonparametric Statistics with Applications to Science and Engineering with R is a highly valuable resource for graduate students in engineering and the physical and mathematical sciences, as well as researchers who need a more comprehensive, but succinct understanding of modern nonparametric statistical methods.

DKK 970.00
1

States of Subsistence - Jose Ciro Martinez - Bog - Stanford University Press - Plusbog.dk

Singing with the Dogon Prophet - Oumarou S. Ongoiba - Bog - Lexington Books - Plusbog.dk