Скачать книгу - Statistical Hypothesis Testing with SAS and R

Planning, preparing, scheduling, and executing SAP test cycles is a time-consuming and resource-intensive endeavor that requires participation from several project members. SAP projects are prone to have informal, ad-hoc test approaches that decrease the stability of the production environment and tend to increase the cost of ownership for the SAP system. Many SAP project and test managers cannot provide answers for questions such as how many requirements have testing coverage, the exit criteria for a test phase, the audit trails for test results, the dependencies and correct sequence for executing test cases, or the cost figures for a previously executed test cycle. Fortunately, through established testing techniques predicated on guidelines and methodologies (i.e., ASAP SAP Roadmap methodology, IBM’s Ascendant methodology, and Deloitte’s ThreadManager methodology), enforcement of standards, application of objective testing criteria, test case automation, implementation of a requirements traceability matrix (RTM), and independent testing and formation of centralized test teams, many of the testing risks that plague existing or initial SAP programs can be significantly reduced. This book is written for SAP managers, SAP consultants, SAP testers, and team leaders who are tasked with supporting, managing, implementing, and monitoring testing activities related to test planning, test design, test automation, test tool management, execution of test cases, reporting of test results, test outsourcing, planning a budget for testing activities, enforcing testing standards, and resolving defects.

Ease the transition to the new COSO framework with practical strategy Internal Control Audit and Compliance provides complete guidance toward the latest framework established by the Committee of Sponsoring Organizations (COSO). With clear explanations and expert advice on implementation, this helpful guide shows auditors and accounting managers how to document and test internal controls over financial reporting with detailed sections covering each element of the framework. Each section highlights the latest changes and new points of emphasis, with explicit definitions of internal controls and how they should be assessed and tested. Coverage includes easing the transition from older guidelines, with step-by-step instructions for implementing the new changes. The new framework identifies seventeen new principles, each of which are explained in detail to help readers understand the new and emerging best practices for efficiency and effectiveness. The revised COSO framework includes financial and non-financial reporting, as well as both internal and external reporting objectives. It is essential for auditors and controllers to understand the new framework and how to document and test under the new guidance. This book clarifies complex codification and provides an effective strategy for a more rapid transition. Understand the new COSO internal controls framework Document and test internal controls to strengthen business processes Learn how requirements differ for public and non-public companies Incorporate improved risk management into the new framework The new framework is COSO's first complete revision since the release of the initial framework in 1992. Companies have become accustomed to the old guidelines, and the necessary procedures have become routine – making the transition to align with the new framework akin to steering an ocean liner. Internal Control Audit and Compliance helps ease that transition, with clear explanation and practical implementation guidance.

Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses—as well as step-by-step guidance that shows you exactly how to implement them using R programming. People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Plus, R enables a user to carry out complex statistical analyses by simply entering a few commands, making sophisticated analyses available and understandable to a wide audience. Statistical Analysis with R For Dummies enables you to perform these analyses and to fully understand their implications and results. Gets you up to speed on the #1 analytics/data science software tool Demonstrates how to easily find, download, and use cutting-edge community-reviewed methods in statistics and predictive modeling Shows you how R offers intel from leading researchers in data science, free of charge Provides information on using R Studio to work with R Get ready to use R to crunch and analyze your data—the fast and easy way!