Hawaii, 1941. War clouds with Japan are gathering and the islands of Hawaii have become battlegrounds of spies, intelligence agents, and military officials - with the island's residents caught between them. Toiling in the shadows are Douglas Wada, the only Japanese American agent in naval intelligence, and Takeo Yoshikawa, a Japanese spy sent to Pearl Harbor to gather information on the U.S. fleet. Douglas Wada's experiences in his native Honolulu include posing undercover as a newspaper reporter, translating wiretaps on the Japanese Consulate, and interrogating America's first captured POW of World War II, a submarine officer found on the beach. Takeo Yoshikawa is a Japanese spy operating as a junior diplomat with the consulate who is collecting vital information that goes straight to Admiral Yamamoto. Their dueling stories anchor Ghosts of Honolulu's gripping depiction of the world-changing cat and mouse games played between Japanese and US military intelligence agents (and a mercenary Nazi) in Hawaii before the outbreak of the second world war. Also caught in the upheaval are Honolulu's innocent residents - including Douglas Wada's father - who endure the war's anti-Japanese fervor and a cadre of intelligence professionals who must prevent Hawaii from adopting the same destructive mass internments as California. Scrutinizing long-buried historical documents, NCIS star Mark Harmon and co-author Leon Carroll, a former NCIS Special Agent, have brought forth a true-life NCIS story of deception, discovery, and danger. Ghosts of Honolulu depicts the incredible high stakes game of naval intelligence and the need to define what is real and what only appears to be real.

For anyone who wants to be operating at a high level with the Excel Solver quickly, this is the book for you. Step-By-Step Optimization With Excel Solver is more than 200+ pages of simple yet thorough explanations on how to use the Excel Solver to solve today's most widely known optimization problems. Loaded with screen shots that are coupled with easy-to-follow instructions, this book will simplify many difficult optimization problems and make you a master of the Excel Solver almost immediately. Here are just some of the Solver optimization problems that are solved completely with simple-to-understand instructions and screen shots in this book: The famous "Traveling Salesman" problem using Solver's Alldifferent constraint and the Solver's Evolutionary method to find the shortest path to reach all customers. This also provides an advanced use of the Excel INDEX function. The well-known "Knapsack Problem" which shows how optimize the use of limited space while satisfying numerous other criteria. How to perform nonlinear regression and curve-fitting on the Solver using the Solver's GRG Nonlinear solving method. How to solve the "Cutting Stock Problem" faced by many manufacturing companies who are trying to determine the optimal way to cut sheets of material to minimize waste while satisfying customer orders. Portfolio optimization to maximize return or minimize risk. Venture capital investment selection using the Solver's Binary constraint to maximize Net Present Value of selected cash flows at year 0. Clever use of the If-Then-Else statements makes this a simple problem. How use Solver to minimize the total cost of purchasing and shipping goods from multiple suppliers to multiple locations. How to optimize the selection of different production machine to minimize cost while fulfilling an order. How to optimally allocate a marketing budget to generate the greatest reach and frequency or number of inbound leads at the lowest cost. Step-By-Step Optimization With Excel Solver has complete instructions and numerous tips on every aspect of operating the Excel Solver. You'll fully understand the reports and know exactly how to tweek all of the Solver's settings for total custom use. The book also provides lots of inside advice and guidance on setting up the model in Excel so that it will be as simple and intuitive as possible to work with. All of the optimization problems in this book are solved step-by-step using a 6-step process that works every time. In addition to detailed screen shots and easy-to-follow explanations on how to solve every optimization problem in the book, a link is provided to download an Excel workbook that has all problems completed exactly as they are in this book. Step-By-Step Optimization With Excel Solver is exactly the book you need if you want to be optimizing at an advanced level with the Excel Solver quickly.

? Complete and practical yet easy-to-understand graduate-level statistics course with all of the problems worked out in Excel. Thoroughly covers all topics of an intense graduate statistics course using nothing but step-by-step, simple explanations. ? Major topics covered in deep detail include regression, chi-square tests, ANOVA, hypothesis tests, confidence intervals, combinations, permutations, correlation, covariance, t-tests, histograms, and charting. ? Many widely-used and complicated statistical tests, such as the chi-square independence test, the chi-square population variance test, and conjoint analysis using dummy variable regression are described from top to bottom and also in Excel. ? A number of problem-solving techniques are presented in this manual that do not appear in any other statistical text. One example of a statistical technique presented only in this manual and nowhere else is a detailed description showing how to solve every type of hypothesis test using the same four steps. ? All problem-solving techniques are presented as step-by-step frameworks that can be readily applied to similar problems, not as seemingly unrelated and difficult-to-apply statistical theorems like most statistics course do. ? Graduate statistics students and business managers will find this manual to be, by far, the easiest and fastest way to master graduate-level statistics and to apply advanced statistics in Excel to solve difficult, real-world problems, homework assignments, and exam questions. ? Loaded with completed, real-world problems all in Excel, this manual is an outstanding supplement to a graduate statistics course. Very clear explanations are used to show exactly how the Excel formulas integrate with the statistical frameworks being applied. ? The reader will learn how to master and apply graduate-level statistics much faster than a student in a normal graduate statistics course because this manual s emphasis is entirely on problem solving, not on useless, forgettable theory that fills up many statistics courses. ? This manual achieves two goals: teaching graduate-level statistical frameworks in an easy-to-understand way and then showing how to implement all of it in Excel. ? The widely-used Microsoft Excel program provides a very simple but incredibly complete platform to perform heavy-duty, advanced statistical analysis. All other statistical software packages, such as Minitab, SyStat, and SPSS, are expensive, require lots of user training, and expect that the user is an expert statistician right from the start. Not this manual nor Microsoft Excel. ? The easy-to-follow frameworks in this manual can be cleanly and swiftly duplicated in the real world and on statistics exams by hand (without Excel) right away. ? The lessons are all in bite-size chunks that are quickly absorbed for immediate use. More than half of the lessons in this manual are supplemented with step-by-step videos for more convenient learning. THE READER OF THIS MANUAL WILL QUICKLY BECOME AN EXCEL STATISTICAL MASTER