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Halifax Regional Municipality Lake Fun Book

RRP $13.99

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Does your little one love spending time with the family at the lake? Then they will love this delightful book filled with activities related to water-side vacations. The Lake Fun Book includes coloring pages with everything from the animals you'd find at the lake to the tents you sleep in. Puzzles and word finds create fun and educational activities, for both you and your child, throughout this enjoyable book. As a bonus, this book would serve as a good resource for the times at the lake when the weather isn't suitable to be outdoors. Pick up this charming activity book for your youngster today! Are you constantly looking for activities to keep your young one busy during those bad weather times at the lake? Are they tired of sitting in the tent with nothing to do? Then the Lake Fun Book is the book for you! Filled with lake related coloring pages, challenging word finds and educational puzzles this book will keep your littlest child busy for hours. In addition, the lake related theme throughout will get your youngster excited about all the things the lake has to offer when the weather clears. Pick up your copy of this charming activity book today and be prepared for that next rainy day at the lake! · DISCOVER:: FUN on the lake. This body of water is a true gem. Now you can work your way through the majestic shores that make this lake so special. Fun for all ages. Share the gift of Lake Fun with someone you love today. ***Limited Time Discount Offer!*** ***Regular Price $12.99*** · · ***Plus, As a Special Thank-you for buying this Book Today, You Will Receive FREE puzzles and games inside the book*** · · Do you want to see a side of the lake a child rarely gets to see? Do you or a child you love need to express their creative side while enjoying a fun cultural experience? Read on to find out more about how this book can solve your problem Buy:: The one and only Lake Fun Coloring Book Here's a preview of what you'll find inside this book: · · Fisherman First Aid Kit Tent Sleeping Bag Beach Towell Fish Net Flippers Boat Paddle Hat Visor Swim Trunks Bikini Radio Playing Music Life jacket Rafts Knee Board Tubes Friends Fire Wood Camp Fire Grill Sun Screen Lotion Money Drinks Goggles Wake board Ski Rope Anchor Bug repellent Beach Chairs Binoculars Book Playing Cards Cooler Coozie Camera Snacks Tackle Box Fishing Rod Worms Cricket Water Shoes Skipping Rocks Water bottle Floaties Swim Noodle Dry Clothes Phone Trash Bag Toilet Paper Paper Towels Watermelon Lantern Flash light Boat light Ski rope Bobber Fishing Hook Catfish Bluegill Turtle Minnow Crickett Water Snake Duck Pelican Seagull Frog Large Mouth Bass Small Mouth Bass Trout Laptop Computer Tablet Swim Cap Nose plug Fish food Bag of ice Dog Pop sickle Marshmallows Chocolate Graham crackers Smores Canoe Kayak Paddlebaord Flip flops Lake Map Swim Noodle And much, much more! Want to Know More? Scroll to the top of the page and select the "BUY" button for instant purchase. Buy Your Copy Right Now!

A Nonlinear Time Series Workshop

RRP $32.99

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The analysis ofwhat might be called "dynamic nonlinearity" in time series has its roots in the pioneering work ofBrillinger (1965) - who first pointed out how the bispectrum and higher order polyspectra could, in principle, be used to test for nonlinear serial dependence - and in Subba Rao and Gabr (1980) and Hinich (1982) who each showed how Brillinger's insight could be translated into a statistical test. Hinich's test, because ittakes advantage ofthe large sample statisticalpropertiesofthe bispectral estimates became the first usable statistical test for nonlinear serial dependence. We are forever grateful to Mel Hinich for getting us involved at that time in this fascinating and fruitful endeavor. With help from Mel (sometimes as amentor, sometimes as acollaborator) we developed and applied this bispectral test in the ensuing period. The first application ofthe test was to daily stock returns {Hinich and Patterson (1982, 1985)} yielding the important discovery of substantial nonlinear serial dependence in returns, over and above the weak linear serial dependence that had been previously observed. The original manuscript met with resistance from finance journals, no doubt because finance academics were reluctant to recognize the importance of distinguishing between serial correlation and nonlinear serial dependence. In Ashley, Patterson and Hinich (1986) we examined the power and sizeofthe test in finite samples.

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