The Draft Charities Bill
Title | The Draft Charities Bill PDF eBook |
Author | Great Britain. Parliament. Joint Committee on the Draft Charities Bill |
Publisher | The Stationery Office |
Pages | 332 |
Release | 2004 |
Genre | Political Science |
ISBN | 9780104005323 |
Draft Charities Bill : Vol. 2: Oral and written Evidence
Standards for Internal Control in the Federal Government
Title | Standards for Internal Control in the Federal Government PDF eBook |
Author | United States Government Accountability Office |
Publisher | Lulu.com |
Pages | 88 |
Release | 2019-03-24 |
Genre | Reference |
ISBN | 0359541828 |
Policymakers and program managers are continually seeking ways to improve accountability in achieving an entity's mission. A key factor in improving accountability in achieving an entity's mission is to implement an effective internal control system. An effective internal control system helps an entity adapt to shifting environments, evolving demands, changing risks, and new priorities. As programs change and entities strive to improve operational processes and implement new technology, management continually evaluates its internal control system so that it is effective and updated when necessary. Section 3512 (c) and (d) of Title 31 of the United States Code (commonly known as the Federal Managers? Financial Integrity Act (FMFIA)) requires the Comptroller General to issue standards for internal control in the federal government.
The draft Local Transport Bill and the Transport Innovation Fund
Title | The draft Local Transport Bill and the Transport Innovation Fund PDF eBook |
Author | Great Britain: Parliament: House of Commons: Transport Committee |
Publisher | The Stationery Office |
Pages | 380 |
Release | 2007-08-03 |
Genre | Political Science |
ISBN | 9780215035851 |
Incorporating HCP 564-i, session 2006-07
Staff Draft Report
Title | Staff Draft Report PDF eBook |
Author | United States. National Commission on Water Quality |
Publisher | |
Pages | 946 |
Release | 1975 |
Genre | Government publications |
ISBN |
Legal Drafting by Design
Title | Legal Drafting by Design PDF eBook |
Author | Richard K. Neumann Jr. |
Publisher | Aspen Publishing |
Pages | 689 |
Release | 2018-02-20 |
Genre | Law |
ISBN | 1454897775 |
Designed for upper-level survey legal drafting courses, this groundbreaking text explains drafting using a common vocabulary that applies to any legal document based on a fundamental rule structure, including statutes and other forms of public drafting as well as contracts and other forms of private drafting. This unified drafting approach gives students a common denominator approach to drafting all kinds of legal documents. In addition, students can use the techniques they’ve learned to deconstruct, interpret, and revise any kind of legal document composed of rules. This common-sense approach of teaching/learning a single vocabulary and set of skills to use in drafting any rules-based legal document is an innovative model for U.S. legal drafting courses, though it has been used in other countries for decades. Key Features: A unified approach that teaches students the general skills of drafting rules of law—duties, discretionary authority, and declarations, including their conditions in legal tests. Practice applying those skills to drafting a range of documents, including contracts, statutes, regulations, and other. Coverage of how courts interpret the rules and how to draft anticipating what the courts will do. An understanding of how law governs human behavior through the rules that students learn to draft. A wide range of classroom exercises on the detail of drafting. Additional drafting assignments, for use in and out of class, that help students learn how to use the rules and to accomplish clients’ goals.
The Roughest Draft
Title | The Roughest Draft PDF eBook |
Author | Emily Wibberley |
Publisher | Penguin |
Pages | 337 |
Release | 2022-01-25 |
Genre | Fiction |
ISBN | 0593201930 |
One of... Amazon's Best Romances of January Popsugar's Best New Romances of 2022 Cosmopolitan's Best Romance Novels of 2022 Buzzfeed, GMA.com, Shondaland, and Bustle's Best of January Oprah Daily’s Most Anticipated Romances of 2022 E! News' Books to Add To Your Reading List in January Bookbub's Most Anticipated Romances of Winter The Nerd Daily’s Swoonworthy 2022 Releases They were cowriting literary darlings until they hit a plot hole that turned their lives upside down. Three years ago, Katrina Freeling and Nathan Van Huysen were the brightest literary stars on the horizon, their cowritten book topping bestseller lists. But on the heels of their greatest success, they ended their partnership on bad terms, for reasons neither would divulge to the public. They haven't spoken since, and never planned to, except they have one final book due on contract. Facing crossroads in their personal and professional lives, they're forced to reunite. The last thing they ever thought they'd do again is hole up in the tiny Florida town where they wrote their previous book, trying to finish a new manuscript quickly and painlessly. Working through the reasons they've hated each other for the past three years isn't easy, especially not while writing a romantic novel. While passion and prose push them closer together in the Florida heat, Katrina and Nathan will learn that relationships, like writing, sometimes take a few rough drafts before they get it right.
Causal Inference
Title | Causal Inference PDF eBook |
Author | Miquel A. Hernan |
Publisher | CRC Press |
Pages | 352 |
Release | 2019-07-07 |
Genre | Medical |
ISBN | 9781420076165 |
The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of detailed, worked examples using real epidemiologic data as well as software for replicating the analyses, the text provides a thorough introduction to the basics of the theory for non-time-varying treatments and the generalization to complex longitudinal data.