FIA - MA2 Maintaining Financial Records Study Text

FIA Managing Costs and Finances - MA2 -Kit

Foundations in Accountancy (FIA) awards are entry-level, core-skill focused qualifications from ACCA. They provide flexible options for students and employers, and as the sole Platinum Approved provider of ACCA content, BPP Learning Media's study materials are tailored to the exams students will take

Foundations in Accountancy (FIA) awards are entry-level, core-skill focused qualifications from ACCA. They provide flexible options for students and employers, and as official ACCA Approved Learning Provider - Content, BPP Learning Media's study materials are tailored to the exams students will take.

Provides a multidisciplinary introduction to quantum mechanics, solid state physics, advanced devices, and fabrication Covers wide range of topics in the same style and in the same notation Most up to date developments in semiconductor physics and nano-engineering Mathematical derivations are carried through in detail with emphasis on clarity Timely application areas such as biophotonics , bioelectronics

ACCA Approved and valid for exams from 01 December 2017 up to 30 June 2018 - Becker's DipIFR Study Text has been approved and quality assured by the ACCA's examining team.

Forest Analytics with R combines practical, down-to-earth forestry data analysis and solutions to real forest management challenges with state-of-the-art statistical and data-handling functionality. The authors adopt a problem-driven approach, in which statistical and mathematical tools are introduced in the context of the forestry problem that they can help to resolve. All the tools are introduced in the context of real forestry datasets, which provide compelling examples of practical applications. The modeling challenges covered within the book include imputation and interpolation for spatial data, fitting probability density functions to tree measurement data using maximum likelihood, fitting allometric functions using both linear and non-linear least-squares regression, and fitting growth models using both linear and non-linear mixed-effects modeling. The coverage also includes deploying and using forest growth models written in compiled languages, analysis of natural resources and forestry inventory data, and forest estate planning and optimization using linear programming. The book would be ideal for a one-semester class in forest biometrics or applied statistics for natural resources management. The text assumes no programming background, some introductory statistics, and very basic applied mathematics.